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Machine learning forecasting for COVID-19 pandemic-associated effects on paediatric respiratory infections.
In Archives of disease in childhood ; h5-index 49.0
OBJECTIVE :
METHODS :
RESULTS :
CONCLUSIONS :
Bowyer Stuart A, Bryant William A, Key Daniel, Booth John, Briggs Lydia, Spiridou Anastassia, Cortina-Borja Mario, Davies Gwyneth, Taylor Andrew M, Sebire Neil J
2022-Aug-10
information technology, respiratory

COVID-RDNet: A novel coronavirus pneumonia classification model using the mixed dataset by CT and X-rays images.
In Biocybernetics and biomedical engineering
Fang Lingling, Wang Xin
2022-Aug-05
Adaptive region enhancement, COVID-19, Deep learning, Dense block, Mixed dataset

Urban spatial risk prediction and optimization analysis of POI based on deep learning from the perspective of an epidemic.
In International journal of applied earth observation and geoinformation : ITC journal
Zhang Yecheng, Zhang Qimin, Zhao Yuxuan, Deng Yunjie, Zheng Hao
2022-Aug
Coronavirus disease, Deep learning, Design improvement, Incidence prediction, Spatial risk factors

Predictive model of risk factors of High Flow Nasal Cannula using machine learning in COVID-19.
In Infectious Disease Modelling
Matsunaga Nobuaki, Kamata Keisuke, Asai Yusuke, Tsuzuki Shinya, Sakamoto Yasuaki, Ijichi Shinpei, Akiyama Takayuki, Yu Jiefu, Yamada Gen, Terada Mari, Suzuki Setsuko, Suzuki Kumiko, Saito Sho, Hayakawa Kayoko, Ohmagari Norio
2022-Aug-05
COVID-19, Japan, Machine learning, Risk prediction, Severity

Effective hybrid deep learning model for COVID-19 patterns identification using CT images.
In Expert systems
Ibrahim Dheyaa Ahmed, Zebari Dilovan Asaad, Mohammed Hussam J, Mohammed Mazin Abed
2022-May-01
COVID‐19 identification, CT scan images, deep learning models, feature fusion

AI bot to detect fake COVID-19 vaccine certificate.
In IET information security
Arif Muhammad, Shamsudheen Shermin, Ajesh F, Wang Guojun, Chen Jianer
2022-May-11
COVID‐19, artificial intelligence, deep learning, forged certificate, vaccine certificate

Partnering with a senior living community to optimise teledermatology via full body skin screening during the COVID-19 pandemic: A pilot programme.
In Skin health and disease
Background :
Objective :
Methods :
Results :
Conclusions :
Trinh Pavin, Yekrang Kiana, Phung Michelle, Pugliese Silvina, Chang Anne Lynn S, Bailey Elizabeth E, Ko Justin M, Sarin Kavita Y
2022-Jun-27

LiteCovidNet: A lightweight deep neural network model for detection of COVID-19 using X-ray images.
In International journal of imaging systems and technology
Kumar Sachin, Shastri Sourabh, Mahajan Shilpa, Singh Kuljeet, Gupta Surbhi, Rani Rajneesh, Mohan Neeraj, Mansotra Vibhakar
2022-Jun-11
COVID‐19, LiteCovidNet, chest X‐ray, classification, deep neural network
A modified DeepLabV3+ based semantic segmentation of chest computed tomography images for COVID-19 lung infections.
In International journal of imaging systems and technology
Polat Hasan
2022-Jun-11
COVID‐19, DeepLabV3 +, ResNet, computed tomography, deep learning, segmentation
Progress in COVID research and developments during pandemic.
In View (Beijing, China)
Shukla Sudheesh K, Patra Santanu, Das Trupti R, Kumar Dharmesh, Mishra Anshuman, Tiwari Ashutosh
2022-Jul-20
COVID science and technology, COVID‐19 diagnosis, artificial intelligence, corona virus, pandemic years, respiratory tract infection, serological test

Real-time COVID-19 detection over chest x-ray images in edge computing.
In Computational intelligence
Xu Weijie, Chen Beijing, Shi Haoyang, Tian Hao, Xu Xiaolong
2022-Apr-30
CNN, COVID‐19, CXR images, edge computing

A deep learning-based approach for diagnosing COVID-19 on chest x-ray images, and a test study with clinical experts.
In Computational intelligence
Sevli Onur
2022-May-17
COVID‐19 diagnosis, chest x‐ray analysis, convolutional neural network, pneumonia detection

Covid-19 detection from radiographs by feature-reinforced ensemble learning.
In Concurrency and computation : practice & experience
Elen Abdullah
2022-Jul-06
Covid‐19, X‐ray images, convolutional neural network, histogram‐oriented gradients, local binary patterns, machine learning

Computational Scientific Discovery in Psychology.
In Perspectives on psychological science : a journal of the Association for Psychological Science
Bartlett Laura K, Pirrone Angelo, Javed Noman, Gobet Fernand
2022-Aug-09
AI, computational scientific discovery, creativity, philosophy of science, psychology

Data driven time-varying SEIR-LSTM/GRU algorithms to track the spread of COVID-19.
In Mathematical biosciences and engineering : MBE
Feng Lin, Chen Ziren, Jr Harold A Lay, Furati Khaled, Khaliq Abdul
2022-Jun-20
** COVID-19 , GRU , LSTM , SEIR , data-driven , time-varying parameters , time-varying reproduction number **

When blame avoidance backfires: Responses to performance framing and outgroup scapegoating during the COVID-19 pandemic.
In Governance (Oxford, England)
Porumbescu Gregory, Moynihan Donald, Anastasopoulos Jason, Olsen Asmus Leth
2022-Jun-03

Epidemiological challenges in pandemic coronavirus disease (COVID-19): Role of artificial intelligence.
In Wiley interdisciplinary reviews. Data mining and knowledge discovery
Dasgupta Abhijit, Bakshi Abhisek, Mukherjee Srijani, Das Kuntal, Talukdar Soumyajeet, Chatterjee Pratyayee, Mondal Sagnik, Das Puspita, Ghosh Subhrojit, Som Archisman, Roy Pritha, Kundu Rima, Sarkar Akash, Biswas Arnab, Paul Karnelia, Basak Sujit, Manna Krishnendu, Saha Chinmay, Mukhopadhyay Satinath, Bhattacharyya Nitai P, De Rajat K
EHR, deep learning, drug affinity, social media, x‐ray/CT/HRCT
Challenges of data sharing in European Covid-19 projects: A learning opportunity for advancing pandemic preparedness and response.
In The Lancet regional health. Europe
Tacconelli Evelina, Gorska Anna, Carrara Elena, Davis Ruth Joanna, Bonten Marc, Friedrich Alex W, Glasner Corinna, Goossens Herman, Hasenauer Jan, Abad Josep Maria Haro, Peñalvo José L, Sanchez-Niubo Albert, Sialm Anastassja, Scipione Gabriella, Soriano Gloria, Yazdanpanah Yazdan, Vorstenbosch Ellen, Jaenisch Thomas
2022-Oct
Cohort study, Data sharing, General Data Protection Regulation, Machine learning, Pandemic, Preparedeness, SARS-CoV-2

Grayscale image statistics of COVID-19 patient CT scans characterize lung condition with machine and deep learning.
In Chronic diseases and translational medicine
Background :
Method :
Results :
Conclusion :
Ghashghaei Sara, Wood David A, Sadatshojaei Erfan, Jalilpoor Mansooreh
2022-May-31
COVID‐19 lung feature recognition, computed tomography analysis, confusion‐matrix analysis, grayscale image attributes, visual versus algorithmic classification

COVID-19 detection using X-ray images and statistical measurements.
In Measurement : journal of the International Measurement Confederation
Avuçlu Emre
2022-Sep-30
Biomedical images, COVID-19, Feature extraction, Machine learning algorithms
Changes in blood pressure and related risk factors among nurses working in a negative pressure isolation ward.
In Frontiers in public health
Objective :
Methods :
Results :
Conclusion :
Wang Yaoyao, Tian Junzhang, Qu Hongying, Yu Lingna, Zhang Xiaoqin, Huang Lishan, Zhou Jianqun, Lian Wanmin, Wang Ruoting, Wang Lijun, Li Guowei, Tang Li
2022
COVID-19, blood pressure, negative pressure isolation ward, nurse, risk factors

An effective detection of COVID-19 using adaptive dual-stage horse herd bidirectional long short-term memory framework.
In International journal of imaging systems and technology
Mannepalli Durga Prasad, Namdeo Varsha
2022-Jul
classification, deep learning, feature extraction, feature selection, optimization, preprocessing

Deep Learning-Aided Automated Pneumonia Detection and Classification Using CXR Scans.
In Computational intelligence and neuroscience
Jain Deepak Kumar, Singh Tarishi, Saurabh Praneet, Bisen Dhananjay, Sahu Neeraj, Mishra Jayant, Rahman Habibur
2022

The effect of information-driven resource allocation on the propagation of epidemic with incubation period.
In Nonlinear dynamics
Zhu Xuzhen, Liu Yuxin, Wang Xiaochen, Zhang Yuexia, Liu Shengzhi, Ma Jinming
2022-Aug-02
Epidemic spreading, Exposed state, Information-driven resource allocation, Microscopic Markov chain, Multiplex network

Digital pathology - Rising to the challenge.
In Frontiers in medicine
Dawson Heather
2022
artificial intelligence, digital pathology, image analysis, scanner acquisition, validation

A Novel Multi-Stage Residual Feature Fusion Network for Detection of COVID-19 in Chest X-Ray Images.
In IEEE transactions on molecular, biological, and multi-scale communications
Fang Zhenyu, Ren Jinchang, MacLellan Calum, Li Huihui, Zhao Huimin, Hussain Amir, Fortino Giancarlo
2022-Mar
COVID-19, MSRCovXNet, ResNet-18, chest x-ray imaging, feature enhancement module
Automated analysis of limited echocardiograms: Feasibility and relationship to outcomes in COVID-19.
In Frontiers in cardiovascular medicine
Background :
Methods :
Results :
Conclusion :
Pellikka Patricia A, Strom Jordan B, Pajares-Hurtado Gabriel M, Keane Martin G, Khazan Benjamin, Qamruddin Salima, Tutor Austin, Gul Fahad, Peterson Eric, Thamman Ritu, Watson Shivani, Mandale Deepa, Scott Christopher G, Naqvi Tasneem, Woodward Gary M, Hawkes William
2022
COVID-19, artificial intelligence, deformation imaging, echocardiography, machine learning, strain rate imaging

MLCA2F: Multi-Level Context Attentional Feature Fusion for COVID-19 lesion segmentation from CT scans.
In Signal, image and video processing
Bakkouri Ibtissam, Afdel Karim
2022-Aug-03
COVID-19 pneumonia, Context attentional features, Contextual information, Multi-level fusion, Multi-scale features, Segmentation

A Web-scraped Skin Image Database of Monkeypox, Chickenpox, Smallpox, Cowpox, and Measles
bioRxiv Preprint
Islam, T.; Hussain, M. A.; Chowdhury, F. U. H.; Islam, B. M. R.
2022-08-09

MID-UNet: Multi-input directional UNet for COVID-19 lung infection segmentation from CT images.
In Signal processing. Image communication
Chi Jianning, Zhang Shuang, Han Xiaoying, Wang Huan, Wu Chengdong, Yu Xiaosheng
2022-Aug-02
COVID-19, CT image, Convolutional neural networks, Deep learning, Infection segmentation

Can Artificial Intelligence Detect Monkeypox from Digital Skin Images?
bioRxiv Preprint
Islam, T.; Hussain, M. A.; Chowdhury, F. U. H.; Islam, B. M. R.
2022-08-09

Image enhancement techniques on deep learning approaches for automated diagnosis of COVID-19 features using CXR images.
In Multimedia tools and applications
Sharma Ajay, Mishra Pramod Kumar
2022-Aug-01
COVID-19 analysis, Chest X-ray, Deep learning, Image denoising, Image enhancement, Pneumonia classification

Scope of repurposed drugs against the potential targets of the latest variants of SARS-CoV-2.
In Structural chemistry
Niranjan Vidya, Setlur Anagha Shamsundar, Karunakaran Chandrashekar, Uttarkar Akshay, Kumar Kalavathi Murugan, Skariyachan Sinosh
2022-Aug-03
COVID-19, Computational sciences, Drug repurposing, Protein targets, SARS-CoV-2, Variants of concern

An ensemble learning strategy for panel time series forecasting of excess mortality during the COVID-19 pandemic.
In Applied soft computing
Ashofteh Afshin, Bravo Jorge M, Ayuso Mercedes
2022-Aug-01
Ensemble Bayesian model averaging (EBMA), Ensemble learning, Forecasting, Healthcare, Layered learning, Machine learning, Multiple learning processes, Respiratory disease deaths, SARS-CoV-2, Time series

A novel deep fusion strategy for COVID-19 prediction using multimodality approach.
In Computers & electrical engineering : an international journal
Manocha Ankush, Bhatia Munish
2022-Aug-03
Covid-19, Deep learning, Semi-supervised learning, Smart healthcare, Smart monitoring

A Machine Learning Approach to Predicting Higher COVID-19 Care Burden in the Primary Care Safety Net: Hispanic Patient Population Size a Key Factor.
In Health services research and managerial epidemiology
Introduction :
Objective :
Methods :
Results :
Conclusions :
Goldstein Evan V, Wilson Fernando A
COVID-19, community health, community health centers, health promotion, prevention, primary care
Developing a Digital Technology System to Address COVID-19 Health Needs in Guatemala: A Scientific Diaspora Case Study.
In Frontiers in research metrics and analytics
Alvarado Juan Roberto, Lainfiesta Ximena, Paniagua-Avila Alejandra, Asturias Gabriela
2022
COVID-19 pandemic, Guatemala, brain circulation, capacity building, chatbot, scientific diasporas, technology

COVID-19: Machine learning for safe transportation.
In Concurrency and computation : practice & experience
Sankari Subbiah, Varshini Subramaniam Sankaran, Aafia Shifana Savvas Mohamed
2022-Aug-30
COVID‐19, YOLOv3, computer vision, face mask, single shot detector, social distancing

Can Artificial Intelligence Detect Monkeypox from Digital Skin Images?
bioRxiv Preprint
Hussain, M. A.; Islam, T.; Chowdhury, F. U. H.; Islam, B. M. R.
2022-08-08
Early prediction of COVID-19 patient survival by targeted plasma multi-omics and machine learning.
In Molecular & cellular proteomics : MCP
Richard Vincent R, Gaither Claudia, Popp Robert, Chaplygina Daria, Brzhozovskiy Alexander, Kononikhin Alexey, Mohammed Yassene, Zahedi René P, Nikolaev Evgeny N, Borchers Christoph H
2022-Aug-03

Answering hospital caregivers' questions at any time: proof of concept of an artificial intelligence-based chatbot in a French hospital.
In JMIR human factors
BACKGROUND :
OBJECTIVE :
METHODS :
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CLINICALTRIAL :
Daniel Thomas, de Chevigny Alix, Champrigaud Adeline, Valette Julie, Sitbon Marine, Jardin Meryam, Chevalier Delphine, Renet Sophie
2022-Aug-02
Predictors of invasive mechanical ventilation in hospitalized COVID-19 patients: a retrospective study from Jordan.
In Expert review of respiratory medicine
OBJECTIVES :
METHODS :
RESULTS :
CONCLUSION :
Kabbaha Suad, Al-Azzam Sayer, Karasneh Reema A, Khassawneh Basheer Y, Al-Mistarehi Abdel-Hameed, Lattyak William J, Aldiab Motasem, Hasan Syed Shahzad, Conway Barbara R, Aldeyab Mamoon A
2022-Aug-05
COVID-19, Comorbidity, Invasive Mechanical Ventilation, Laboratory, Predictor, Risk Factor, SARS‐CoV‐2, Severity

An Empirical Analysis of an Optimized Pretrained Deep Learning Model for COVID-19 Diagnosis.
In Computational and mathematical methods in medicine
Sangeetha S K B, Kumar M Sandeep, K Deeba, Rajadurai Hariharan, Maheshwari V, Dalu Gemmachis Teshite
2022

COVID-19 Prediction With Machine Learning Technique From Extracted Features of Photoplethysmogram Morphology.
In Frontiers in public health
Nayan Nazrul Anuar, Jie Yi Choon, Suboh Mohd Zubir, Mazlan Nur-Fadhilah, Periyasamy Petrick, Abdul Rahim Muhammad Yusuf Zawir, Shah Shamsul Azhar
2022
COVID-19, diagnostic, machine learning, non-invasive, photoplethysmogram, prediction

Identification of COVID-19-Specific Immune Markers Using a Machine Learning Method.
In Frontiers in molecular biosciences
Li Hao, Huang Feiming, Liao Huiping, Li Zhandong, Feng Kaiyan, Huang Tao, Cai Yu-Dong
2022
COVID-19, classification algorithm, feature selection, immune cell, machine learning
Artificial Intelligence in Accelerating Drug Discovery and Development.
In Recent patents on biotechnology
Tripathi Anushree, Misra Krishna, Dhanuka Richa, Singh Jyoti Prakash
2022-Aug-02
Artificial Intelligence (AI), Bioinformatics, COVID-19, Drug design, Machine Learning (ML)., Pharmaceutical applications
Primary SARS-CoV-2 Pneumonia Screening in Adults: Analysis of the Correlation between High-Resolution Computed Tomography Pulmonary Patterns and Initial Oxygen Saturation Levels.
In Current medical imaging
BACKGROUND :
OBJECTIVE :
METHODS :
RESULTS :
CONCLUSION :
Alonazi Batil, Mostafa Mohamed A, Farghaly Ahmed M, Zindani Salah A, Al-Watban Jehad A, Altaimi Feras, Almotairy Abdulrahim S, Fagiry Moram A, Mahmoud Mustafa Z
2022-Aug-02
Artificial intelligence, chest high-resolution computed tomography, ground glass opacities, primary SARS-CoV-2 pneumonia, respiratory rate

Deep learning based COVID-19 detection using medical images: Is insufficient data handled well?
In Current medical imaging
Babu Caren, O Rahul Manohar, Chandy D Abraham
2022-Aug-03
COVID-19, CT dataset, Chest X-ray dataset, data augmentation, deep learning, transfer learning.
Building Public Health Surveillance 3.0: Emerging Timely Measures of Physical, Economic, and Social Environmental Conditions Affecting Health.
In American journal of public health ; h5-index 90.0
Thorpe Lorna E, Chunara Rumi, Roberts Tim, Pantaleo Nicholas, Irvine Caleb, Conderino Sarah, Li Yuruo, Hsieh Pei Yang, Gourevitch Marc N, Levine Shoshanna, Ofrane Rebecca, Spoer Benjamin
2022-Aug-04
Enhancing Artificial Intelligence for Twitter-based Public Discourse on Food Security During the COVID-19 Pandemic.
In Disaster medicine and public health preparedness
OBJECTIVE :
METHODS :
RESULTS :
CONCLUSIONS :
Martin Nina M, Poirier Lisa, Rosenblum Andrew J, Reznar Melissa M, Gittelsohn Joel, Barnett Daniel J
2022-Aug-04
Food Security, Machine Learning, Natural Language Processing, Topic Modeling, Twitter

Metabolite profile of COVID-19 revealed by UPLC-MS/MS-based widely targeted metabolomics.
In Frontiers in immunology ; h5-index 100.0
Liu Jun, Li Zhi-Bin, Lu Qi-Qi, Yu Yi, Zhang Shan-Qiang, Ke Pei-Feng, Zhang Fan, Li Ji-Cheng
2022
COVID-19, UPLC-MS/MS, machine learning, potential biomarkers, widely targeted metabolites

Argument mining as rapid screening tool of COVID-19 literature quality: Preliminary evidence.
In Frontiers in public health
Background :
Purpose :
Methodology :
Results :
Discussion and conclusions :
Brambilla Gianfranco, Rosi Antonella, Antici Francesco, Galassi Andrea, Giansanti Daniele, Magurano Fabio, Ruggeri Federico, Torroni Paolo, Cisbani Evaristo, Lippi Marco
2022
COVID-19, argument mining, artificial intelligence, inter-rater agreement, scientific literature quality assessment
Performance of a Chest Radiograph AI Diagnostic Tool for COVID-19: A Prospective Observational Study.
In Radiology. Artificial intelligence
Purpose :
Materials and Methods :
Results :
Conclusion :
Sun Ju, Peng Le, Li Taihui, Adila Dyah, Zaiman Zach, Melton-Meaux Genevieve B, Ingraham Nicholas E, Murray Eric, Boley Daniel, Switzer Sean, Burns John L, Huang Kun, Allen Tadashi, Steenburg Scott D, Gichoya Judy Wawira, Kummerfeld Erich, Tignanelli Christopher J
2022-Jul
Application Domain, Classification, Diagnosis, Infection, Lung

Plasma proteomics of SARS-CoV-2 infection and severity reveals impact on Alzheimer and coronary disease pathways.
In medRxiv : the preprint server for health sciences
Wang Lihua, Western Dan, Timsina Jigyasha, Repaci Charlie, Song Won-Min, Norton Joanne, Kohlfeld Pat, Budde John, Climer Sharlee, Butt Omar H, Jacobson Daniel, Garvin Michael, Templeton Alan R, Campagna Shawn, O’Halloran Jane, Presti Rachel, Goss Charles W, Mudd Philip A, Ances Beau M, Zhang Bin, Sung Yun Ju, Cruchaga Carlos
2022-Jul-25
The Impact of COVID-19 on Physician-Scientist Trainees and Faculty in the United States: A National Survey.
In Academic medicine : journal of the Association of American Medical Colleges
PURPOSE :
METHOD :
RESULTS :
CONCLUSIONS :
Kwan Jennifer M, Noch Evan, Qiu Yuqing, Toubat Omar, Christophers Briana, Azzopardi Stephanie, Gilmer Gabrielle, Wiedmeier Julia Erin, Daye Dania
2022-Aug-02

Meta-analysis of the microbial biomarkers in the gut - lung crosstalk in COVID-19, community acquired pneumonia and Clostridium difficile infections.
In Letters in applied microbiology
Aishwarya S, Gunasekaran K
2022-Aug-03
diversity, gut - lung axis, interplay, microbiota, random forest classifier

Applications of machine learning for COVID-19 misinformation: a systematic review.
In Social network analysis and mining
Sanaullah A R, Das Anupam, Das Anik, Kabir Muhammad Ashad, Shu Kai
2022
COVID-19, Classification, Deep learning, Machine learning, Misinformation

A wavelet-based deep learning pipeline for efficient COVID-19 diagnosis via CT slices.
In Applied soft computing
Attallah Omneya, Samir Ahmed
2022-Jul-29
COVID-19, Computed tomography (CT), Convolutional neural networks, Deep learning, Discrete wavelet transform (DWT), ResNet

A Web-scraped Skin Image Database of Monkeypox, Chickenpox, Smallpox, Cowpox, and Measles
bioRxiv Preprint
Islam, T.; Hussain, M. A.; Chowdhury, F. U. H.; Islam, B. M. R.
2022-08-04

Better understanding the behavior of air pollutants at shutdown times - results of a short full lockdown.
In International journal of environmental health research
Tavella Ronan Adler, El Koury Santos Jéssica, de Moura Fernando Rafael, da Silva Júnior Flávio Manoel Rodrigues
2022-Aug-02
Air pollution, Brazil, COVID-19, air quality

Vec4Cred: a model for health misinformation detection in web pages.
In Multimedia tools and applications
Upadhyay Rishabh, Pasi Gabriella, Viviani Marco
2022-Jul-28
Consumer health, Deep learning, Health misinformation, Machine learning, Natural language processing

Deep Learning-Based Networks for Detecting Anomalies in Chest X-Rays.
In BioMed research international ; h5-index 102.0
Badr Malek, Al-Otaibi Shaha, Alturki Nazik, Abir Tanvir
2022

Real-time assessment of the Ganga river during pandemic COVID-19 and predictive data modeling by machine learning.
In International journal of environmental science and technology : IJEST
** :
Supplementary Information :
Singh J, Swaroop S, Sharma P, Mishra V
2022-Jul-27
Artificial neural network, Biochemical oxygen demand, Dissolved oxygen, Modeling, The Ganga, Total Coliform Count, pH

Deep learning and machine learning-based voice analysis for the detection of COVID-19: A proposal and comparison of architectures.
In Knowledge-based systems
Costantini Giovanni, Cesarini Valerio, Robotti Carlo, Benazzo Marco, Pietrantonio Filomena, Di Girolamo Stefano, Pisani Antonio, Canzi Pietro, Mauramati Simone, Bertino Giulia, Cassaniti Irene, Baldanti Fausto, Saggio Giovanni
2022-Jul-28
1E, Vowel /e/ vocal task, 2S, Sentence vocal task, 3C, Cough vocal task, Adaboost, CFS, Correlation-based Feature Selection, CNN, Convolutional Neural Network, COVID-19, Classification, DL, Deep Learning, Deep learning, H, Healthy control subjects, MFCC, Mel-frequency Cepstral Coefficients, ML, Machine Learning, NS, Nasal Swab, P, Positive subjects, PCR, Polymerase Chain Reaction-based molecular swabs, PvsH, Positive versus Healthy subjects comparison, R, Recovered subjects, RF, Random Forest, ROC, Receiver-Operating Curve, ReLu, Rectified Linear Unit, RvsH, Recovered versus Healthy subjects comparison, SVM, Support Vector Machine, Speech processing

Improving performance of classifiers for diagnosis of critical diseases to prevent COVID risk.
In Computers & electrical engineering : an international journal
Kumar Vinod, Lalotra Gotam Singh, Kumar Ravi Kant
2022-Sep
COVID-19, Class balancing techniques, Clinical dataset, Machine learning, Multi-class classification

Prediction, scanning and designing of TNF-α inducing epitopes for human and mouse
bioRxiv Preprint
Dhall, A.; Patiyal, S.; Choudhury, S.; Jain, S.; Narang, K.; Raghava, G. P. S.
2022-08-03

Recognition of Freezing of Gait in Parkinson's Disease Based on Machine Vision.
In Frontiers in aging neuroscience ; h5-index 64.0
Background :
Objective :
Methods :
Results :
Conclusion :
Li Wendan, Chen Xiujun, Zhang Jintao, Lu Jianjun, Zhang Chencheng, Bai Hongmin, Liang Junchao, Wang Jiajia, Du Hanqiang, Xue Gaici, Ling Yun, Ren Kang, Zou Weishen, Chen Cheng, Li Mengyan, Chen Zhonglue, Zou Haiqiang
2022
Parkinson’s disease, XGBoost, freezing of gait, machine learning, machine vision

Sentiment analysis of COVID-19 social media data through machine learning.
In Multimedia tools and applications
Dangi Dharmendra, Dixit Dheeraj K, Bhagat Amit
2022-Jul-25
COVID-19, Decision tree, Logistic regression, Multinomial Naïve Bayes, Random forest, Support vector machine

Effect of public sentiment on stock market movement prediction during the COVID-19 outbreak.
In Social network analysis and mining
Das Nabanita, Sadhukhan Bikash, Chatterjee Tanusree, Chakrabarti Satyajit
2022
Deep learning, Sentiment analysis, Stock market prediction, Web scraping

Deep learning based topic and sentiment analysis: COVID19 information seeking on social media.
In Social network analysis and mining
Bashar Md Abul, Nayak Richi, Balasubramaniam Thirunavukarasu
2022
COVID19, Deep learning, Dynamic topic modelling, Impact analysis, Informed machine learning, Neural topic modelling, SBS, Sentiment analysis, Topic analysis

Deep Learning Models for the Diagnosis and Screening of COVID-19: A Systematic Review.
In SN computer science
Siddiqui Shah, Arifeen Murshedul, Hopgood Adrian, Good Alice, Gegov Alexander, Hossain Elias, Rahman Wahidur, Hossain Shazzad, Al Jannat Sabila, Ferdous Rezowan, Masum Shamsul
2022
Computed tomography (CT) images, Coronavirus (COVID-19), Deep learning (DL), Machine learning (ML), RT-PCR, X-ray images

Polarized Citizen Preferences for the Ethical Allocation of Scarce Medical Resources in 20 Countries.
In MDM policy & practice
** :
Highlights :
Awad Edmond, Bago Bence, Bonnefon Jean-François, Christakis Nicholas A, Rahwan Iyad, Shariff Azim
cross-cultural study, medical ethics, triage preferences

Product pricing solutions using hybrid machine learning algorithm.
In Innovations in systems and software engineering
Namburu Anupama, Selvaraj Prabha, Varsha M
2022-Jul-25
CatBoost, Ensemble algorithms, Product pricing, X-NGBoost, XGBoost

Attention-augmented U-Net (AA-U-Net) for semantic segmentation.
In Signal, image and video processing
** :
Supplementary Information :
Rajamani Kumar T, Rani Priya, Siebert Hanna, ElagiriRamalingam Rajkumar, Heinrich Mattias P
2022-Jul-25
Attention mechanism, Attention-augmented convolution, COVID-19, Consolidation, Ground-glass opacities, Segmentation, U-Net

Deep Content Information Retrieval for COVID-19 Detection from Chromatic CT Scans.
In Arabian journal for science and engineering
Sassi Ameni, Ouarda Wael, Amar Chokri Ben
2022-Jul-22
COVID-19, CT scans, Chromatic information, Convolutional neural network, Dilation, Erosion, Image retrieval

Geographic microtargeting of social assistance with high-resolution poverty maps.
In Proceedings of the National Academy of Sciences of the United States of America
Smythe Isabella S, Blumenstock Joshua E
2022-Aug-09
Nigeria, poverty, satellite imagery, targeting

Gastrointestinal sequalae months after severe acute respiratory syndrome corona virus 2 infection: a prospective, observational study.
In European journal of gastroenterology & hepatology
INTRODUCTION :
METHODS :
RESULTS :
CONCLUSION :
Liptak Peter, Duricek Martin, Rosolanka Robert, Ziacikova Ivana, Kocan Ivan, Uhrik Peter, Grendar Marian, Hrnciarova Martina, Bucova Patricia, Galo David, Banovcin Peter
2022-Sep-01

Gastrointestinal sequalae months after severe acute respiratory syndrome corona virus 2 infection: a prospective, observational study.
In European journal of gastroenterology & hepatology
INTRODUCTION :
METHODS :
RESULTS :
CONCLUSION :
Liptak Peter, Duricek Martin, Rosolanka Robert, Ziacikova Ivana, Kocan Ivan, Uhrik Peter, Grendar Marian, Hrnciarova Martina, Bucova Patricia, Galo David, Banovcin Peter
2022-Jul-28
COVID-19 telehealth preparedness: a cross-sectional assessment of cardiology practices in the USA.
In Personalized medicine
Waldman Carly E, Min Jean H, Wassif Heba, Freeman Andrew M, Rzeszut Anne K, Reilly Jack, Theriot Paul, Soliman Ahmed M, Thamman Ritu, Bhatt Ami, Bhavnani Sanjeev P
2022-Aug-01
COVID-19, access to care, electronic medical record, healthcare access, pandemic, payment parity, reimbursement, telehealth, telemedicine, video-visitations

Association of COVID-19 with New-Onset Alzheimer's Disease.
In Journal of Alzheimer's disease : JAD
Wang Lindsey, Davis Pamela B, Volkow Nora D, Berger Nathan A, Kaelber David C, Xu Rong
2022-Jul-29
Alzheimer’s disease, COVID-19, electronic health records, viral etiology

Real-time internet of medical things framework for early detection of Covid-19.
In Neural computing & applications
Yildirim Emre, Cicioğlu Murtaza, Çalhan Ali
2022-Jul-24
Apache spark, Covid-19 diagnosis, Ensemble learning, Machine learning, Real-time analytics

Detecting COVID-19 patients via MLES-Net deep learning models from X-Ray images.
In BMC medical imaging
BACKGROUND :
METHODS :
RESULTS :
CONCLUSIONS :
Wang Wei, Jiang Yongbin, Wang Xin, Zhang Peng, Li Ji
2022-Jul-30
COVID-19, Chest X-Ray images, Convolutional neural network (CNN), Deep learning, MLES-Net
Unsupervised machine learning demonstrates the prognostic value of TAPSE/PASP ratio among hospitalized patients with COVID-19.
In Echocardiography (Mount Kisco, N.Y.)
BACKGROUND :
METHODS :
RESULTS :
CONCLUSION :
Jani Vivek, Kapoor Karan, Meyer Joseph, Lu Jim, Goerlich Erin, Metkus Thomas S, Madrazo Jose A, Michos Erin, Wu Katherine, Bavaro Nicole, Kutty Shelby, Hays Allison G, Mukherjee Monica
2022-Jul-30
COVID-19, echocardiography, right ventricular failure
Within-host dynamics of SARS-CoV-2 infection: a systematic review and meta-analysis.
In Transboundary and emerging diseases ; h5-index 40.0
Du Zhanwei, Wang Shuqi, Bai Yuan, Gao Chao, Lau Eric H Y, Cowling Benjamin J
2022-Jul-30
COVID-19, Review, SARS-CoV-2, Viral dynamic parameters, Within-host model

Comparative performance of two automated machine learning platforms for COVID-19 detection by MALDI-TOF-MS.
In PloS one ; h5-index 176.0
Rashidi Hooman H, Pepper John, Howard Taylor, Klein Karina, May Larissa, Albahra Samer, Phinney Brett, Salemi Michelle R, Tran Nam K
2022

Rapid prediction of in-hospital mortality among adults with COVID-19 disease.
In PloS one ; h5-index 176.0
BACKGROUND :
METHODS :
RESULTS :
CONCLUSIONS :
Kim Kyoung Min, Evans Daniel S, Jacobson Jessica, Jiang Xiaqing, Browner Warren, Cummings Steven R
2022
A Stress and Pain Self-management mHealth App for Adult Outpatients With Sickle Cell Disease: Protocol for a Randomized Controlled Study.
In JMIR research protocols ; h5-index 26.0
BACKGROUND :
OBJECTIVE :
METHODS :
RESULTS :
CONCLUSIONS :
TRIAL REGISTRATION :
INTERNATIONAL REGISTERED REPORT IDENTIFIER (IRRID) :
Ezenwa Miriam O, Yao Yingwei, Mandernach Molly W, Fedele David A, Lucero Robert J, Corless Inge, Dyal Brenda W, Belkin Mary H, Rohatgi Abhinav, Wilkie Diana J
2022-Jul-29
analgesics, intervention, opioid use, pain, protocol, randomized controlled trial, self-management, sickle cell disease, stress, support

Providing Care Beyond Therapy Sessions With a Natural Language Processing-Based Recommender System That Identifies Cancer Patients Who Experience Psychosocial Challenges and Provides Self-care Support: Pilot Study.
In JMIR cancer
BACKGROUND :
OBJECTIVE :
METHODS :
RESULTS :
CONCLUSIONS :
Leung Yvonne W, Park Bomi, Heo Rachel, Adikari Achini, Chackochan Suja, Wong Jiahui, Alie Elyse, Gancarz Mathew, Kacala Martyna, Hirst Graeme, de Silva Daswin, French Leon, Bender Jacqueline, Mishna Faye, Gratzer David, Alahakoon Damminda, Esplen Mary Jane
2022-Jul-29
artificial intelligence, natural language processing, online support groups, recommender system, supportive care in cancer
Dynamics of Respiratory Infectious Diseases in Incarcerated and Free-Living Populations: A Simulation Modeling Study.
In Medical decision making : an international journal of the Society for Medical Decision Making
BACKGROUND :
METHODS :
RESULTS :
CONCLUSIONS :
HIGHLIGHTS :
Weyant Christopher, Lee Serin, Andrews Jason R, Alarid-Escudero Fernando, Goldhaber-Fiebert Jeremy D
2022-Jul-29
COVID-19, correctional facility, infectious diseases, meta-model

Network Embedding Across Multiple Tissues and Data Modalities Elucidates the Context of Host Factors Important for COVID-19 Infection.
In Frontiers in genetics ; h5-index 62.0
Hu Yue, Rehawi Ghalia, Moyon Lambert, Gerstner Nathalie, Ogris Christoph, Knauer-Arloth Janine, Bittner Florian, Marsico Annalisa, Mueller Nikola S
2022
COVID-19, machine learning, multi-omic integration, network embedding, network inference, polygenic risk score (PRS)

A machine learning model on Real World Data for predicting progression to Acute Respiratory Distress Syndrome (ARDS) among COVID-19 patients.
In PloS one ; h5-index 176.0
INTRODUCTION :
METHODS :
RESULTS :
CONCLUSION :
Lazzarini Nicola, Filippoupolitis Avgoustinos, Manzione Pedro, Eleftherohorinou Hariklia
2022
A comparison of Covid-19 early detection between convolutional neural networks and radiologists.
In Insights into imaging
BACKGROUND :
METHODS :
RESULTS :
CONCLUSION :
Albiol Alberto, Albiol Francisco, Paredes Roberto, Plasencia-Martínez Juana María, Blanco Barrio Ana, Santos José M García, Tortajada Salvador, González Montaño Victoria M, Rodríguez Godoy Clara E, Fernández Gómez Saray, Oliver-Garcia Elena, de la Iglesia Vayá María, Márquez Pérez Francisca L, Rayo Madrid Juan I
2022-Jul-28
Covid-19, Deep learning, Radiology

Integrative analysis of clinical health records, imaging and pathogen genomics identifies personalized predictors of disease prognosis in tuberculosis.
In medRxiv : the preprint server for health sciences
Sambarey Awanti, Smith Kirk, Chung Carolina, Arora Harkirat Singh, Yang Zhenhua, Agarwal Prachi, Chandrasekaran Sriram
2022-Jul-21

Predicting death risk analysis in fully vaccinated people using novel extreme regression-voting classifier.
In Digital health
Saad Eysha, Sadiq Saima, Jamil Ramish, Rustam Furqan, Mehmood Arif, Choi Gyu Sang, Ashraf Imran
COVID-19, adverse reactions, machine learning, post-vaccination symptoms

Medical students' intention to integrate digital health into their medical practice: A pre-peri COVID-19 survey study in Canada.
In Digital health
Objective :
Methods :
Results :
Conclusions :
Paré Guy, Raymond Louis, Pomey Marie-Pascale, Grégoire Geneviève, Castonguay Alexandre, Ouimet Antoine Grenier
COVID-19, Digital health, artificial intelligence, eHealth, medical education, medical practice, survey
Usefulness of Vaccine Adverse Event Reporting System for Machine-Learning Based Vaccine Research: A Case Study for COVID-19 Vaccines.
In International journal of molecular sciences ; h5-index 102.0
Flora James, Khan Wasiq, Jin Jennifer, Jin Daniel, Hussain Abir, Dajani Khalil, Khan Bilal
2022-Jul-26
COVID-19, VAERS, adverse events, association rule mining, bipartite graphs, hierarchical clustering, self-organizing maps, vaccine analysis workflow, vaccine development

Bibliometric Analysis of Health Technology Research: 1990~2020.
In International journal of environmental research and public health ; h5-index 73.0
Luo Xiaomei, Wu Yuduo, Niu Lina, Huang Lucheng
2022-Jul-25
Citespace, VOSviewer, bibliometrics, emerging research topic, healthy technology, research frontier

Generating High-Granularity COVID-19 Territorial Early Alerts Using Emergency Medical Services and Machine Learning.
In International journal of environmental research and public health ; h5-index 73.0
Gianquintieri Lorenzo, Brovelli Maria Antonia, Pagliosa Andrea, Dassi Gabriele, Brambilla Piero Maria, Bonora Rodolfo, Sechi Giuseppe Maria, Caiani Enrico Gianluca
2022-Jul-25
COVID-19, emergency medical services, geo-AI, geographic information system, health geomatics, machine learning, resources management, spatial filtering
Deep learning for understanding multilabel imbalanced Chest X-ray datasets
ArXiv Preprint
Helena Liz, Javier Huertas-Tato, Manuel Sánchez-Montañés, Javier Del Ser, David Camacho
2022-07-28
DTLMV2-A real-time deep transfer learning mask classifier for overcrowded spaces.
In Applied soft computing
Gupta Meenu, Chaudhary Gopal, Bansal Dhruvi, Pandey Shashwat
2022-Jul-21
CNN, Computer vision, Covid19, Deep learning, Mask classifier, MobileNetV2, Object detection

Deep visual social distancing monitoring to combat COVID-19: A comprehensive survey.
In Sustainable cities and society
Himeur Yassine, Al-Maadeed Somaya, Almadeed Noor, Abualsaud Khalid, Mohamed Amr, Khattab Tamer, Elharrouss Omar
2022-Jul-21
Bird’s eye view, Convolutional neural networks, Euclidean distance, Pedestrian detection, Transfer learning, Visual social distancing monitoring

A Hybrid Random Forest Deep learning Classifier Empowered Edge Cloud Architecture for COVID-19 and Pneumonia Detection.
In Expert systems with applications
Hemalatha Murugan
2022-Jul-21
Healthcare industry, Heat Transfer Search Algorithm, Web Services, and Random Forest, and cloud computing, deep learning

Prediction of viral-host interactions of COVID-19 by computational methods.
In Chemometrics and intelligent laboratory systems : an international journal sponsored by the Chemometrics Society
Alakus Talha Burak, Turkoglu Ibrahim
2022-Jul-21
Covid-19, Deep learning, Protein mapping, SARS-CoV-2 virus

REDIRECTION: Generating drug repurposing hypotheses using link prediction with DISNET data
bioRxiv Preprint
Ayuso Munoz, A.; Ugarte Carro, E.; Prieto Santamaria, L.; Otero Carrasco, B.; Menasalvas Ruiz, E.; Perez Gallardo, Y.; Rodriguez-Gonzalez, A.
2022-07-27

MedML: Fusing Medical Knowledge and Machine Learning Models for Early Pediatric COVID-19 Hospitalization and Severity Prediction
ArXiv Preprint
Junyi Gao, Chaoqi Yang, George Heintz, Scott Barrows, Elise Albers, Mary Stapel, Sara Warfield, Adam Cross, Jimeng Sun, the N3C consortium
2022-07-25

Deep learning based non-contact physiological monitoring in Neonatal Intensive Care Unit
ArXiv Preprint
Nicky Nirlipta Sahoo, Balamurali Murugesan, Ayantika Das, Srinivasa Karthik, Keerthi Ram, Steffen Leonhardt, Jayaraj Joseph, Mohanasankar Sivaprakasam
2022-07-25

Prediction of hospital-onset COVID-19 infections using dynamic networks of patient contact: an international retrospective cohort study.
In The Lancet. Digital health
BACKGROUND :
METHODS :
FINDINGS :
INTERPRETATION :
FUNDING :
Myall Ashleigh, Price James R, Peach Robert L, Abbas Mohamed, Mookerjee Sid, Zhu Nina, Ahmad Isa, Ming Damien, Ramzan Farzan, Teixeira Daniel, Graf Christophe, Weiße Andrea Y, Harbarth Stephan, Holmes Alison, Barahona Mauricio
2022-Aug

Predicting neurological outcomes after in-hospital cardiac arrests for patients with Coronavirus Disease 2019.
In Resuscitation ; h5-index 66.0
BACKGROUND :
METHODS :
RESULTS :
CONCLUSION :
Mayampurath Anoop, Bashiri Fereshteh, Hagopian Raffi, Venable Laura, Carey Kyle, Edelson Dana, Churpek Matthew
2022-Jul-19
cardiac arrest, machine learning, neurological outcomes, prediction

Directional mutation and crossover boosted ant colony optimization with application to COVID-19 X-ray image segmentation.
In Computers in biology and medicine
Qi Ailiang, Zhao Dong, Yu Fanhua, Heidari Ali Asghar, Wu Zongda, Cai Zhennao, Alenezi Fayadh, Mansour Romany F, Chen Huiling, Chen Mayun
2022-Jul-13
ACO, Ant colony optimization, COVID-19 X-ray, Image segmentation, Optimization, Swarm intelligence

Enhanced whale optimization algorithm for medical feature selection: A COVID-19 case study.
In Computers in biology and medicine
Nadimi-Shahraki Mohammad H, Zamani Hoda, Mirjalili Seyedali
2022-Jul-16
Binary whale optimization algorithm, COVID-19, Classification, Feature selection, Medical data mining, Transfer functions
Multi-population generalizability of a deep learning-based chest radiograph severity score for COVID-19.
In Medicine
Li Matthew D, Arun Nishanth T, Aggarwal Mehak, Gupta Sharut, Singh Praveer, Little Brent P, Mendoza Dexter P, Corradi Gustavo C A, Takahashi Marcelo S, Ferraciolli Suely F, Succi Marc D, Lang Min, Bizzo Bernardo C, Dayan Ittai, Kitamura Felipe C, Kalpathy-Cramer Jayashree
2022-Jul-22

COVIDx-US: An Open-Access Benchmark Dataset of Ultrasound Imaging Data for AI-Driven COVID-19 Analytics.
In Frontiers in bioscience (Landmark edition)
BACKGROUND :
CONCLUSIONS :
Ebadi Ashkan, Xi Pengcheng, MacLean Alexander, Florea Adrian, Tremblay Stéphane, Kohli Sonny, Wong Alexander
2022-Jun-24
COVID-19, artificial intelligence, curated dataset, open-access, ultrasound imaging

The mechanical ventilator of the future: a breath of hope for the viral pandemics to come.
In The Pan African medical journal
Filho Luiz Alberto Cerqueira Batista
2022
Artificial intelligence, COVID-19, critical care, machine learning, mechanical ventilation

Ftl-CoV19: A Transfer Learning Approach to Detect COVID-19.
In Computational intelligence and neuroscience
Singh Tarishi, Saurabh Praneet, Bisen Dhananjay, Kane Lalit, Pathak Mayank, Sinha G R
2022
Human vs Artificial Intelligence-Based Echocardiography Analysis as Predictor of Outcomes: An analysis from the World Alliance Societies of Echocardiography COVID study.
In Journal of the American Society of Echocardiography : official publication of the American Society of Echocardiography
BACKGROUND :
METHODS :
RESULTS :
CONCLUSIONS :
Asch Federico M, Descamps Tine, Sarwar Rizwan, Karagodin Ilya, Singulane Cristiane Carvalho, Xie Mingxing, Tucay Edwin S, Tude Rodrigues Ana C, Vasquez-Ortiz Zuilma Y, Monaghan Mark J, Ordonez Salazar Bayardo A, Soulat-Dufour Laurie, Alizadehasl Azin, Mostafavi Atoosa, Moreo Antonella, Citro Rodolfo, Narang Akhil, Wu Chun, Addetia Karima, Upton Ross, Woodward Gary M, Lang Roberto M
2022-Jul-18
Artificial Intelligence, COVID-19, Echocardiography, Left Ventricular Function, Machine Learning, Outcomes Prediction, WASE

VOC-DL: Deep learning prediction model for COVID-19 based on VOC virus variants.
In Computer methods and programs in biomedicine
BACKGROUND AND OBJECTIVE :
METHODS :
RESULTS :
CONCLUSIONS :
Liao Zhifang, Song Yucheng, Ren Shengbing, Song Xiaomeng, Fan Xiaoping, Liao Zhining
2022-Jun-30
COVID-19, LSTM, Prediction, Time series, VOC-DL model, Variant

Resting-state functional connectome predicts individual differences in depression during COVID-19 pandemic.
In The American psychologist
Mao Yu, Chen Qunlin, Wei Dongtao, Yang Wenjing, Sun Jiangzhou, Yu Yaxu, Zhuang Kaixiang, Wang Xiaoqin, He Li, Feng Tingyong, Lei Xu, He Qinghua, Chen Hong, Duan Shukai, Qiu Jiang
2022-Jul-21
Diagnosis of coronavirus disease 2019 and the potential role of deep learning: insights from the experience of Cairo University Hospitals.
In The Journal of international medical research
OBJECTIVES :
METHODS :
RESULTS :
CONCLUSION :
Ahmed Marwa M, Sayed Amal M, El Abd Dina, El Sayed Inas T, Elkholy Yasmine S, Fares Ahmed H, Fares Samar
2022-Jul
Primary care, coronavirus disease 2019, deep learning, early detection, neural network, severe acute respiratory syndrome coronavirus 2
Predicting a Positive Antibody Response After 2 SARS-CoV-2 mRNA Vaccines in Transplant Recipients: A Machine Learning Approach With External Validation.
In Transplantation ; h5-index 56.0
BACKGROUND :
METHODS :
RESULTS :
CONCLUSIONS :
Alejo Jennifer L, Mitchell Jonathan, Chiang Teresa P-Y, Chang Amy, Abedon Aura T, Werbel William A, Boyarsky Brian J, Zeiser Laura B, Avery Robin K, Tobian Aaron A R, Levan Macey L, Warren Daniel S, Massie Allan B, Moore Linda W, Guha Ashrith, Huang Howard J, Knight Richard J, Gaber Ahmed Osama, Ghobrial Rafik Mark, Garonzik-Wang Jacqueline M, Segev Dorry L, Bae Sunjae
2022-Jul-21

Online Predictor Using Machine Learning to Predict Novel Coronavirus and Other Pathogenic Viruses.
In ACS omega
Sarkar Jnanendra Prasad, Saha Indrajit, Ghosh Nimisha, Maity Debasree, Plewczynski Dariusz
2022-Jul-12

Review on the COVID-19 pandemic prevention and control system based on AI.
In Engineering applications of artificial intelligence
Yi Junfei, Zhang Hui, Mao Jianxu, Chen Yurong, Zhong Hang, Wang Yaonan
2022-Sep
Artificial intelligence, COVID-19 big data, Intelligent equipment and systems, Intelligent robots

Analysis of sentiment changes in online messages of depression patients before and during the COVID-19 epidemic based on BERT+BiLSTM.
In Health information science and systems
Guo Chaohui, Lin Shaofu, Huang Zhisheng, Yao Yahong
2022-Dec
Adversarial training, BERT+BiLSTM, Depression, Sentiment analysis, Time feature

Artificial Intelligence-Based Data-Driven Strategy to Accelerate Research, Development, and Clinical Trials of COVID Vaccine.
In BioMed research international ; h5-index 102.0
Sharma Ashwani, Virmani Tarun, Pathak Vipluv, Sharma Anjali, Pathak Kamla, Kumar Girish, Pathak Devender
2022

COVID-19 Classification from Chest X-Ray Images: A Framework of Deep Explainable Artificial Intelligence.
In Computational intelligence and neuroscience
Khan Muhammad Attique, Azhar Marium, Ibrar Kainat, Alqahtani Abdullah, Alsubai Shtwai, Binbusayyis Adel, Kim Ye Jin, Chang Byoungchol
2022

An AI-enabled pre-trained model-based Covid detection model using chest X-ray images.
In Multimedia tools and applications
Gupta Rajeev Kumar, Kunhare Nilesh, Pathik Nikhlesh, Pathik Babita
2022-Jul-12
Convolution neural network, Covid-19, InceptionResNetV2, MobileNetV2, Pre-trained model, Resnet50, VGG19
Individual Factors Associated With COVID-19 Infection: A Machine Learning Study.
In Frontiers in public health
Ramírez-Del Real Tania, Martínez-García Mireya, Márquez Manlio F, López-Trejo Laura, Gutiérrez-Esparza Guadalupe, Hernández-Lemus Enrique
2022
COVID-19, feature selection, imbalanced data, machine learning, predictive model

A Structure-Based B-cell Epitope Prediction Model Through Combing Local and Global Features.
In Frontiers in immunology ; h5-index 100.0
Lu Shuai, Li Yuguang, Ma Qiang, Nan Xiaofei, Zhang Shoutao
2022
B-cell epitopes prediction, Bi-LSTM, GCN, SARS-CoV-2, attention, structure-based

Data-Centric Epidemic Forecasting: A Survey
ArXiv Preprint
Alexander Rodríguez, Harshavardhan Kamarthi, Pulak Agarwal, Javen Ho, Mira Patel, Suchet Sapre, B. Aditya Prakash
2022-07-19
Exposing and Overcoming Limitations of Clinical Laboratory Tests in COVID-19 by Adding Immunological Parameters; A Retrospective Cohort Analysis and Pilot Study.
In Frontiers in immunology ; h5-index 100.0
Background :
Objectives :
Findings :
Conclusions :
Sánchez-Montalvá Adrián, Álvarez-Sierra Daniel, Martínez-Gallo Mónica, Perurena-Prieto Janire, Arrese-Muñoz Iria, Ruiz-Rodríguez Juan Carlos, Espinosa-Pereiro Juan, Bosch-Nicolau Pau, Martínez-Gómez Xavier, Antón Andrés, Martínez-Valle Ferran, Riveiro-Barciela Mar, Blanco-Grau Albert, Rodríguez-Frias Francisco, Castellano-Escuder Pol, Poyatos-Canton Elisabet, Bas-Minguet Jordi, Martínez-Cáceres Eva, Sánchez-Pla Alex, Zurera-Egea Coral, Teniente-Serra Aina, Hernández-González Manuel, Pujol-Borrell Ricardo
2022
CXCL10, SARS-CoV-2 infection, acute phase reactants, chemokines, clinical laboratory tests, cytokines, flow cytometry, predictive risk-profile

Discovering novel systemic biomarkers in photos of the external eye
ArXiv Preprint
Boris Babenko, Ilana Traynis, Christina Chen, Preeti Singh, Akib Uddin, Jorge Cuadros, Lauren P. Daskivich, April Y. Maa, Ramasamy Kim, Eugene Yu-Chuan Kang, Yossi Matias, Greg S. Corrado, Lily Peng, Dale R. Webster, Christopher Semturs, Jonathan Krause, Avinash V. Varadarajan, Naama Hammel, Yun Liu
2022-07-19
Synergy between Public and Private Healthcare Organizations during COVID-19 on Twitter.
In JMIR medical informatics ; h5-index 23.0
BACKGROUND :
OBJECTIVE :
METHODS :
RESULTS :
CONCLUSIONS :
CLINICALTRIAL :
Singhal Aditya, Baxi Manmeet Kaur, Mago Vijay
2022-Jul-15

Machine Learning-Based Fragment Selection Improves the Performance of Qualitative PRM Assays.
In Journal of proteome research
Vanderboom Patrick M, Renuse Santosh, Maus Anthony D, Madugundu Anil K, Kemp Jennifer V, Gurtner Kari M, Singh Ravinder J, Grebe Stefan K, Pandey Akhilesh, Dasari Surendra
2022-Jul-18
COVID-19, antigen detection, limit of detection (LOD), machine learning (ML), parallel reaction monitoring (PRM), sensitivity

Predicting Multiple Sclerosis Outcomes during the COVID-19 Stay-at-Home Period: Observational Study Using Passively Sensed Behaviors and Digital Phenotyping.
In JMIR mental health
BACKGROUND :
OBJECTIVE :
METHODS :
RESULTS :
CONCLUSIONS :
CLINICALTRIAL :
Chikersal Prerna, Venkatesh Shruthi, Masown Karmen, Walker Elizabeth, Quraishi Danyal, Dey Anind, Goel Mayank, Xia Zongqi
2022-Jul-16

What, Where, When and How of COVID-19 Patents Landscape: A Bibliometrics Review.
In Frontiers in medicine
Liu Kunmeng, Zhang Xiaoming, Hu Yuanjia, Chen Weijie, Kong Xiangjun, Yao Peifen, Cong Jinyu, Zuo Huali, Wang Jian, Li Xiang, Wei Benzheng
2022
COVID-19, bibliometric patent analysis, citation network, coronavirus, patent landscape, patent mining, social network analysis
A Deep Learning Approach to Identify Chest Computed Tomography Features for Prediction of SARS-CoV-2 Infection Outcomes.
In Methods in molecular biology (Clifton, N.J.)
Sahebkar Amirhossein, Abbasifard Mitra, Chaibakhsh Samira, Guest Paul C, Pourhoseingholi Mohamad Amin, Vahedian-Azimi Amir, Kesharwani Prashant, Jamialahmadi Tannaz
2022
COVID-19, Chest CT, Computed tomography, Deep learning, Diffuse opacities, Lesion distribution, SARS-CoV-2

Machine Learning Approaches to Analyze MALDI-TOF Mass Spectrometry Protein Profiles.
In Methods in molecular biology (Clifton, N.J.)
Lazari Lucas C, Rosa-Fernandes Livia, Palmisano Giuseppe
2022
Biomarkers, COVID-19, Classification, MALDI-TOF, Machine learning, Prognostic

Challenges of Multiplex Assays for COVID-19 Research: A Machine Learning Perspective.
In Methods in molecular biology (Clifton, N.J.)
Guest Paul C, Popovic David, Steiner Johann
2022
Bias, Biomarker discovery, COVID-19, Confounding factor, Machine learning, Multiplex assay, SARS-CoV-2

Users' Feedback on COVID-19 Lockdown Documentary: An Emotion Analysis and Topic Modeling Analysis.
In Frontiers in psychology ; h5-index 92.0
Shi Xiaochuan, Jia Miaoyutian, Li Jia, Chen Quiyi, Liu Guan, Liu Qian
2022
COVID-19, LDA topic modeling, emotion analysis, health measures, lockdown

A Smart Device for a Preliminary Dental Examination Based on the Internet of Things.
In Computational intelligence and neuroscience
Wedyan Mohammad, Alturki Ryan, Gazzawe Foziah, Ramadan Enas
2022

The Role of Emerging Technologies to Fight Against COVID-19 Pandemic: An Exploratory Review.
In Transactions of the Indian National Academy of Engineering : an international journal of engineering and technology
Mondal Sanjoy, Mitra Priyanjana
2022
AI, COVID-19, Drone, IoMT, IoT, Pandemic

Topological Analysis on Multi-scenario Graphs: Applications Toward Discerning Variability in SARS-CoV-2 and Topic Similarity in Research.
In Transactions of the Indian National Academy of Engineering : an international journal of engineering and technology
Biswas Sourav, Bhattacharyya Malay, Bandyopadhyay Sanghamitra
2022
Citation Network, Graphlet and Graphlet Degree Distribution, Multi-scenario Graphs, SARS-CoV-2, Topic Similarity Network, Topological Analysis

Prediction of Patients with COVID-19 Requiring Intensive Care: A Cross-sectional Study Based on Machine-learning Approach from Iran.
In Indian journal of critical care medicine : peer-reviewed, official publication of Indian Society of Critical Care Medicine
Background :
Aims and objectives :
Materials and methods :
Results :
Conclusion :
How to cite this article :
Ethics approval :
Sabetian Golnar, Azimi Aram, Kazemi Azar, Hoseini Benyamin, Asmarian Naeimehossadat, Khaloo Vahid, Zand Farid, Masjedi Mansoor, Shahriarirad Reza, Shahriarirad Sepehr
2022-Jun
COVID-19, Intensive care, Iran, Machine-learning, Prediction, Regression

Passenger Surveillance Using Deep Learning in Post-COVID-19 Intelligent Transportation System.
In Transactions of the Indian National Academy of Engineering : an international journal of engineering and technology
Kundu Srimanta, Maulik Ujjwal
2022-May-26
COVID-19, Inception-V3, Mask detection, Passenger counting, Transfer learning, Vehicle surveillance

Integrated plasma proteomic and single-cell immune signaling network signatures demarcate mild, moderate, and severe COVID-19.
In Cell reports. Medicine
Feyaerts Dorien, Hédou Julien, Gillard Joshua, Chen Han, Tsai Eileen S, Peterson Laura S, Ando Kazuo, Manohar Monali, Do Evan, Dhondalay Gopal K R, Fitzpatrick Jessica, Artandi Maja, Chang Iris, Snow Theo T, Chinthrajah R Sharon, Warren Christopher M, Wittman Richard, Meyerowitz Justin G, Ganio Edward A, Stelzer Ina A, Han Xiaoyuan, Verdonk Franck, Gaudillière Dyani K, Mukherjee Nilanjan, Tsai Amy S, Rumer Kristen K, Jacobsen Danielle R, Bjornson-Hooper Zachary B, Jiang Sizun, Saavedra Sergio Fragoso, Valdés Ferrer Sergio Iván, Kelly J Daniel, Furman David, Aghaeepour Nima, Angst Martin S, Boyd Scott D, Pinsky Benjamin A, Nolan Garry P, Nadeau Kari C, Gaudillière Brice, McIlwain David R
2022-Jun-28
COVID-19, CyTOF, Olink, PBMC, SARS-CoV-2, immunophenotyping, mass cytometry, phosphosignaling response, proteomics, stacked generalization
The effect of different degrees of lockdown and self-identified gender on anxiety, depression and suicidality during the COVID-19 pandemic: Data from the international COMET-G study.
In Psychiatry research ; h5-index 64.0
INTRODUCTION :
MATERIAL AND METHODS :
STATISTICAL ANALYSIS :
CONCLUSIONS :
Fountoulakis Konstantinos N, Karakatsoulis Grigorios N, Abraham Seri, Adorjan Kristina, Ahmed Helal Uddin, Alarcón Renato D, Arai Kiyomi, Auwal Sani Salihu, Berk Michael, Bjedov Sarah, Bobes Julio, Bobes-Bascaran Teresa, Bourgin-Duchesnay Julie, Bredicean Cristina Ana, Bukelskis Laurynas, Burkadze Akaki, Abud Indira Indiana Cabrera, Castilla-Puentes Ruby, Cetkovich Marcelo, Colon-Rivera Hector, Corral Ricardo, Cortez-Vergara Carla, Crepin Piirika, De Berardis Domenico, Delgado Sergio Zamora, De Lucena David, De Sousa Avinash, Stefano Ramona Di, Dodd Seetal, Elek Livia Priyanka, Elissa Anna, Erdelyi-Hamza Berta, Erzin Gamze, Etchevers Martin J, Falkai Peter, Farcas Adriana, Fedotov Ilya, Filatova Viktoriia, Fountoulakis Nikolaos K, Frankova Iryna, Franza Francesco, Frias Pedro, Galako Tatiana, Garay Cristian J, Garcia-Álvarez Leticia, García-Portilla Maria Paz, Gonda Xenia, Gondek Tomasz M, González Daniela Morera, Gould Hilary, Grandinetti Paolo, Grau Arturo, Groudeva Violeta, Hagin Michal, Harada Takayuki, Hasan Tasdik M, Hashim Nurul Azreen, Hilbig Jan, Hossain Sahadat, Iakimova Rossitza, Ibrahim Mona, Iftene Felicia, Ignatenko Yulia, Irarrazaval Matias, Ismail Zaliha, Ismayilova Jamila, Jacobs Asaf, Jakovljević Miro, Jakšić Nenad, Javed Afzal, Kafali Helin Yilmaz, Karia Sagar, Kazakova Olga, Khalifa Doaa, Khaustova Olena, Koh Steve, Kopishinskaia Svetlana, Kosenko Korneliia, Koupidis Sotirios A, Kovacs Illes, Kulig Barbara, Lalljee Alisha, Liewig Justine, Majid Abdul, Malashonkova Evgeniia, Malik Khamelia, Malik Najma Iqbal, Mammadzada Gulay, Mandalia Bilvesh, Marazziti Donatella, Marčinko Darko, Martinez Stephanie, Matiekus Eimantas, Mejia Gabriela, Memon Roha Saeed, Martínez Xarah Elenne Meza, Mickevičiūtė Dalia, Milev Roumen, Mohammed Muftau, Molina-López Alejandro, Morozov Petr, Muhammad Nuru Suleiman, Mustač Filip, Naor Mika S, Nassieb Amira, Navickas Alvydas, Okasha Tarek, Pandova Milena, Panfil Anca-Livia, Panteleeva Liliya, Papava Ion, Patsali Mikaella E, Pavlichenko Alexey, Pejuskovic Bojana, Da Costa Mariana Pinto, Popkov Mikhail, Popovic Dina, Raduan Nor Jannah Nasution, Ramírez Francisca Vargas, Rancans Elmars, Razali Salmi, Rebok Federico, Rewekant Anna, Flores Elena Ninoska Reyes, Rivera-Encinas María Teresa, Saiz Pilar, de Carmona Manuel Sánchez, Martínez David Saucedo, Saw Jo Anne, Saygili Görkem, Schneidereit Patricia, Shah Bhumika, Shirasaka Tomohiro, Silagadze Ketevan, Sitanggang Satti, Skugarevsky Oleg, Spikina Anna, Mahalingappa Sridevi Sira, Stoyanova Maria, Szczegielniak Anna, Tamasan Simona Claudia, Tavormina Giuseppe, Tavormina Maurilio Giuseppe Maria, Theodorakis Pavlos N, Tohen Mauricio, Tsapakis Eva Maria, Tukhvatullina Dina, Ullah Irfan, Vaidya Ratnaraj, Vega-Dienstmaier Johann M, Vrublevska Jelena, Vukovic Olivera, Vysotska Olga, Widiasih Natalia, Yashikhina Anna, Prezerakos Panagiotis E, Smirnova Daria
2022-Jul-01
COVID-19, Depression, Mental health, lockdown, anxiety, mental health history, Suicidality
A Deep Learning Approach for Spatio-Temporal Forecasting of New Cases and New Hospital admissions of COVID-19 spread in Reggio Emilia, Northern Italy.
In Journal of biomedical informatics ; h5-index 55.0
BACKGROUND :
METHODS :
Sciannameo Veronica, Goffi Alessia, Maffeis Giuseppe, Gianfreda Roberta, Jahier Pagliari Daniele, Filippini Tommaso, Mancuso Pamela, Giorgi-Rossi Paolo, Alberto Dal Zovo Leonardo, Corbari Angela, Vinceti Marco, Berchialla Paola
2022-Jul-11
COVID-19, ConvLSTM, SARS-CoV-2, deep learning, forecasting, spatio-temporal

Federated Learning in Risk Prediction: A Primer and Application to COVID-19-Associated Acute Kidney Injury.
In Nephron
BACKGROUND :
SUMMARY :
KEY MESSAGES :
Gulamali Faris F, Nadkarni Girish N
2022-Jul-14
Acute renal failure, Acute renal injury, Kidney

Feature-level ensemble approach for COVID-19 detection using chest X-ray images.
In PloS one ; h5-index 176.0
Ho Thi Kieu Khanh, Gwak Jeonghwan
2022
Classification of COVID-19 from tuberculosis and pneumonia using deep learning techniques.
In Medical & biological engineering & computing ; h5-index 32.0
Venkataramana Lokeswari, Prasad D Venkata Vara, Saraswathi S, Mithumary C M, Karthikeyan R, Monika N
2022-Jul-14
Convolutional neural network, Data augmentation, Data balancing, Feature selection, Multi-level classification, Normalization
Human-annotated dataset for social media sentiment analysis for Albanian language.
In Data in brief
Kadriu Fatbardh, Murtezaj Doruntina, Gashi Fatbardh, Ahmedi Lule, Kurti Arianit, Kastrati Zenun
2022-Aug
Affective computing, Machine/deep learning, NLP, Sentiment analysis, Text classification
Incidence, risk factors, natural history, and hypothesised mechanisms of myocarditis and pericarditis following covid-19 vaccination: living evidence syntheses and review.
In BMJ (Clinical research ed.)
OBJECTIVES :
DESIGN :
DATA SOURCES :
ELIGIBILITY CRITERIA FOR SELECTING STUDIES :
RESULTS :
CONCLUSIONS :
Pillay Jennifer, Gaudet Lindsay, Wingert Aireen, Bialy Liza, Mackie Andrew S, Paterson D Ian, Hartling Lisa
2022-Jul-13

Tchebichef Transform Domain-Based Deep Learning Architecture for Image Super-Resolution.
In IEEE transactions on neural networks and learning systems
Kumar Ahlad, Singh Harsh Vardhan, Khare Vijeta
2022-Jul-13

Development and integration of VGG and dense transfer-learning systems supported with diverse lung images for discovery of the Coronavirus identity.
In Informatics in medicine unlocked
Hamwi Wael Abdalsalam, Almustafa Muhammad Mazen
2022-Jul-08
Artificial intelligence, CXR&CT chest COVID-19 images integration of three pre-trained CNN models Fine-tuning, Image processing, Performance evaluation

Detection of COVID-19 using deep learning techniques and classification methods.
In Information processing & management
Oğuz Çinare, Yağanoğlu Mete
2022-Jul-08
Classification, Covid-19, Deep learning, ResNet

Post-vaccination infection rates and modification of COVID-19 symptoms in vaccinated UK school-aged children and adolescents: A prospective longitudinal cohort study.
In The Lancet regional health. Europe
Background :
Methods :
Findings :
Interpretation :
Funding :
Molteni Erika, Canas Liane S, Kläser Kerstin, Deng Jie, Bhopal Sunil S, Hughes Robert C, Chen Liyuan, Murray Benjamin, Kerfoot Eric, Antonelli Michela, Sudre Carole H, Pujol Joan Capdevila, Polidori Lorenzo, May Anna, Hammers Prof Alexander, Wolf Jonathan, Spector Prof Tim D, Steves Claire J, Ourselin Prof Sebastien, Absoud Michael, Modat Marc, Duncan Prof Emma L
2022-Aug
BNT162b2 vaccine effectiveness, BNT162b2, Comirnaty SARS-CoV-2 vaccine (BioNTech, Pfizer), CA, Children and adolescents, COVID-19 vaccination, “KCL, Kings College London”, LFAT, Lateral flow antigen test, OR, Odds Ratio, PCR, Polymerase chain reaction, Paediatrics, SARS-CoV-2 vaccination, SARS-CoV-2 vaccination in children, SARS-CoV-2, Severe acute respiratory syndrome‐related coronavirus 2, UK, United Kingdom of Great Britain and Northern Ireland

Exploring the Development of Chinese Digital Resources under Lightweight Deep Learning.
In Computational intelligence and neuroscience
Song Bai
2022

Short term Markov corrector for building load forecasting system - Concept and case study of day-ahead load forecasting under the impact of the COVID-19 pandemic.
In Energy and buildings
Nguyen Van Hoa, Besanger Yvon
2022-Sep-01
Building SCADA, Building load forecasting, Markov corrector, Prophet, Self-updating machine learning
Machine learning to support visual auditing of home-based lateral flow immunoassay self-test results for SARS-CoV-2 antibodies.
In Communications medicine
Background :
Methods :
Results :
Conclusions :
Wong Nathan C K, Meshkinfamfard Sepehr, Turbé Valérian, Whitaker Matthew, Moshe Maya, Bardanzellu Alessia, Dai Tianhong, Pignatelli Eduardo, Barclay Wendy, Darzi Ara, Elliott Paul, Ward Helen, Tanaka Reiko J, Cooke Graham S, McKendry Rachel A, Atchison Christina J, Bharath Anil A
2022
Databases, Public health

What changed in the cyber-security after COVID-19?
In Computers & security
Kumar Rajesh, Sharma Siddharth, Vachhani Chirag, Yadav Nitish
2022-Jul-05
COVID-19 pandemic, Cyber-security trends, Latent Dirichlet Allocation, Topic modeling, Trend analysis, Unsupervised machine learning

Factors Influencing the Utilization of Diabetes Complication Tests Under the COVID-19 Pandemic: Machine Learning Approach.
In Frontiers in endocrinology ; h5-index 55.0
Objective :
Methods :
Results :
Conclusion :
Byeon Haewon
2022
COVID-19 pandemic, complication test, diabetes, fundus examination, microprotein urination test

Anti-social behaviour in the coronavirus pandemic.
In Crime science
Halford Eric, Dixon Anthony, Farrell Graham
2022
Anti-social behaviour, Antisocial behavior, Artificial intelligence, COVID-19, Natural language processing, Policing

Improving medical decision-making for COVID-19 cases using clustering-based self-organizing map neural network and K-means algorithms.
In Informatics in medicine unlocked
Ilbeigipour Sadegh, Albadvi Amir, Akhondzadeh Noughabi Elham
2022-Jul-05
COVID-19, Clustering, Neural network, Self-organizing map, Unsupervised machine learning

XGBoost-Based Feature Learning Method for Mining COVID-19 Novel Diagnostic Markers.
In Frontiers in public health
Song Xianbin, Zhu Jiangang, Tan Xiaoli, Yu Wenlong, Wang Qianqian, Shen Dongfeng, Chen Wenyu
2022
COVID-19, XGBoost, diagnostic markers, machine learning, principal component analysis

A Survey on Machine Learning and Internet of Medical Things-Based Approaches for Handling COVID-19: Meta-Analysis.
In Frontiers in public health
Band Shahab S, Ardabili Sina, Yarahmadi Atefeh, Pahlevanzadeh Bahareh, Kiani Adiqa Kausar, Beheshti Amin, Alinejad-Rokny Hamid, Dehzangi Iman, Chang Arthur, Mosavi Amir, Moslehpour Massoud
2022
COVID-19, Internet of Things (IoT), big data, coronavirus, deep learning, information systems, internet of medical things, machine learning

Insights from Incorporating Quantum Computing into Drug Design Workflows
bioRxiv Preprint
Lau, B.; Emani, P. S.; Chapman, J.; Yao, L.; Lam, T.; Merrill, P.; Warrell, J.; Gerstein, M. B.; Lam, H.
2022-07-12

AttentionSiteDTI: an interpretable graph-based model for drug-target interaction prediction using NLP sentence-level relation classification.
In Briefings in bioinformatics
Yazdani-Jahromi Mehdi, Yousefi Niloofar, Tayebi Aida, Kolanthai Elayaraja, Neal Craig J, Seal Sudipta, Garibay Ozlem Ozmen
2022-Jul-12
Binding Sites, DTI database, DTI software, Deep learning, Machine learning, SARS-CoV-2, Self-Attention, drug–target interaction

A comparison of conventional and advanced electroanalytical methods to detect SARS-CoV-2 virus: A concise review.
In Chemosphere
Ganesh Pattan-Siddappa, Kim Sang-Youn
2022-Jul-08
Detection, Electrochemical biosensor, Modified electrode, Point of care, Polymerase chain reaction, SARS-CoV-2

Artificial intelligence and tele-otoscopy: A window into the future of pediatric otology.
In International journal of pediatric otorhinolaryngology ; h5-index 35.0
Ezzibdeh Rami, Munjal Tina, Ahmad Iram, Valdez Tulio A
2022-Jul-06
Artificial intelligence, Machine learning, Otoscopy, Remote, Telehealth

Dew-Cloud-Based Hierarchical Federated Learning for Intrusion Detection in IoMT.
In IEEE journal of biomedical and health informatics
Singh Parminder, Gaba Gurjot Singh, Kaur Avinash, Hedabou Mustapha, Gurtov Andrei
2022-Jul-11

The Role of Influential Actors in Fostering the Polarized COVID-19 Vaccine Discourse on Twitter: Mixed Methods of Machine Learning and Inductive Coding.
In JMIR infodemiology
Background :
Objective :
Methods :
Results :
Conclusions :
Hagen Loni, Fox Ashley, O’Leary Heather, Dyson DeAndre, Walker Kimberly, Lengacher Cecile A, Hernandez Raquel
COVID-19, vaccine hesitancy, social media, influential actors, Twitter, influencer

An accessible infrastructure for artificial intelligence using a docker-based Jupyterlab in Galaxy
bioRxiv Preprint
Kumar, A.; Cuccuru, G.; Gruening, B.; Backofen, R.
2022-07-11

Real-time artificial intelligence based health monitoring, diagnosing and environmental control system for COVID-19 patients.
In Mathematical biosciences and engineering : MBE
Rahman Muhammad Zia Ur, Raza Ali Hassan, AlSanad Abeer Abdulaziz, Akbar Muhammad Azeem, Liaquat Rabia, Riaz Muhammad Tanveer, AlSuwaidan Lulwah, Al-Alshaikh Halah Abdulaziz, Alsagri Hatoon S
2022-May-23
** Blynk IoT platform , SpO2 , artificial intelligence , electrocardiogram (ECG) , emergency condition , internet of things (IoT) **

An Explainable AI Approach for the Rapid Diagnosis of COVID-19 Using Ensemble Learning Algorithms.
In Frontiers in public health
Background :
Objective :
Methods :
Results :
Conclusions :
Gong Houwu, Wang Miye, Zhang Hanxue, Elahe Md Fazla, Jin Min
2022
COVID-19, artificial intelligence, disease prediction, ensemble learning, explainable

Computational Intelligence-Based Method for Automated Identification of COVID-19 and Pneumonia by Utilizing CXR Scans.
In Computational intelligence and neuroscience
Kaushik Bhavana, Koundal Deepika, Goel Neelam, Zaguia Atef, Belay Assaye, Turabieh Hamza
2022

Data modelling recipes for SARS-CoV-2 wastewater-based epidemiology.
In Environmental research ; h5-index 67.0
Rauch Wolfgang, Schenk Hannes, Insam Heribert, Markt Rudolf, Kreuzinger Norbert
2022-Jul-04
Data modelling, Forecast, Regression, SARS-CoV-2, Smoothing, Wastewater-based epidemiology

Human-to-AI Interrater Agreement for Lung Ultrasound Scoring in COVID-19 Patients.
In Journal of ultrasound in medicine : official journal of the American Institute of Ultrasound in Medicine
OBJECTIVES :
METHODS :
RESULTS :
CONCLUSIONS :
Fatima Noreen, Mento Federico, Zanforlin Alessandro, Smargiassi Andrea, Torri Elena, Perrone Tiziano, Demi Libertario
2022-Jul-07
COVID-19, SARS-CoV-2, interobserver agreement, lung ultrasound

The Severity of Depression, Anxiety, and Stress: Recommendations From Joint Work of Research Center and Psychology Clinics in COVID-19 Pandemic.
In Frontiers in psychiatry
Shahid Hira, Hasan Muhammad Abul, Ejaz Osama, Khan Hashim Raza, Idrees Muhammad, Ashraf Mishal, Aftab Sobia, Qazi Saad Ahmed
2022
COVID-19, anxiety, depression, mental health, stress
Lost in machine translation: The promises and pitfalls of machine translation for multilingual group work in global health education.
In Discover education
Hill David C, Gombay Christy, Sanchez Otto, Woappi Bethel, Romero Vélez Andrea S, Davidson Stuart, Richardson Emma Z L
2022

Content-based medical image retrieval system for lung diseases using deep CNNs.
In International journal of information technology : an official journal of Bharati Vidyapeeth's Institute of Computer Applications and Management
Agrawal Shubham, Chowdhary Aastha, Agarwala Saurabh, Mayya Veena, Kamath S Sowmya
2022-Jun-30
COVID-19, Content-based image retrieval, Deep learning, Disease classification

Automated diagnosis of COVID stages from lung CT images using statistical features in 2-dimensional flexible analytic wavelet transform.
In Biocybernetics and biomedical engineering
Patel Rajneesh Kumar, Kashyap Manish
2022-Jul-01
COVID-19, FAWT based image decomposition, Feature extraction, Image classification, Machine learning, Medical imaging
Comparing trained and untrained probabilistic ensemble forecasts of COVID-19 cases and deaths in the United States.
In International journal of forecasting
Ray Evan L, Brooks Logan C, Bien Jacob, Biggerstaff Matthew, Bosse Nikos I, Bracher Johannes, Cramer Estee Y, Funk Sebastian, Gerding Aaron, Johansson Michael A, Rumack Aaron, Wang Yijin, Zorn Martha, Tibshirani Ryan J, Reich Nicholas G
2022-Jul-01
COVID-19, Ensemble, Epidemiology, Health forecasting, Quantile combination

Infodemic and fake news - A comprehensive overview of its global magnitude during the COVID-19 pandemic in 2021: A scoping review.
In International journal of disaster risk reduction : IJDRR
Balakrishnan Vimala, Ng Wei Zhen, Soo Mun Chong, Han Gan Joo, Lee Choon Jiat
2022-Aug
COVID-19, Detection, Fake news, Motives, Scoping review, Topic

Towards Transparency in Dermatology Image Datasets with Skin Tone Annotations by Experts, Crowds, and an Algorithm
ArXiv Preprint
Matthew Groh, Caleb Harris, Roxana Daneshjou, Omar Badri, Arash Koochek
2022-07-06
Multi-scale alignment and Spatial ROI Module for COVID-19 Diagnosis
ArXiv Preprint
Hongyan Xu, Dadong Wang, Arcot Sowmya
2022-07-04

Applicability of probabilistic graphical models for early detection of SARS-CoV-2 reactive antibodies after SARS-CoV-2 vaccination in hematological patients.
In Annals of hematology ; h5-index 39.0
Piñana José Luis, Rodríguez-Belenguer Pablo, Caballero Dolores, Martino Rodrigo, Lopez-Corral Lucia, Terol María-José, Vazquez Lourdes, Calabuig Marisa, Sanz-Linares Gabriela, Marin-Jimenez Francisca, Alonso Carmen, Montoro Juan, Ferrer Elena, Facal Ana, Pascual María-Jesús, Rodriguez-Fernandez Alicia, Olave María T, Cascales-Hernandez Almudena, Gago Beatriz, Hernández-Rivas José-Ángel, Villalon Lucia, Corona Magdalena, Roldán-Pérez Alicia, Ribes-Amoros Julia, González-Santillana Clara, Garcia-Sanz Ramon, Navarro David, Serrano-López Antonio J, Cedillo Ángel, Soria-Olivas Emilio, Sureda Anna, Solano Carlos
2022-Jul-02
Allogeneic stem cell transplantation, Autologous stem cell transplantation, Bayesian Networks, CAR-T therapy, COVID-19, Chronic lymphocytic leukemia, Hematological malignancies, Immunocompromised patients, Moderna mRNA-1273, Non-Hodgkin lymphoma, Pfizer-BioNTech BNT162b2, Probabilistic graphical models, Respiratory virus, SARS-CoV-2 vaccines, mRNA vaccine
Multi-branch fusion auxiliary learning for the detection of pneumonia from chest X-ray images.
In Computers in biology and medicine
Liu Jia, Qi Jing, Chen Wei, Nian Yongjian
2022-Jun-15
Auxiliary learning, Deep learning, Feature fusion, Multi-task learning, Pneumonia
Multi-center validation of an artificial intelligence system for detection of COVID-19 on chest radiographs in symptomatic patients.
In European radiology ; h5-index 62.0
OBJECTIVES :
METHODS :
RESULTS :
CONCLUSION :
KEY POINTS :
Kuo Michael D, Chiu Keith W H, Wang David S, Larici Anna Rita, Poplavskiy Dmytro, Valentini Adele, Napoli Alessandro, Borghesi Andrea, Ligabue Guido, Fang Xin Hao B, Wong Hing Ki C, Zhang Sailong, Hunter John R, Mousa Abeer, Infante Amato, Elia Lorenzo, Golemi Salvatore, Yu Leung Ho P, Hui Christopher K M, Erickson Bradley J
2022-Jul-02
Artificial intelligence, COVID-19, Public health, Radiology, Thoracic

Sequence-assignment validation in cryo-EM models with checkMySequence.
In Acta crystallographica. Section D, Structural biology
Chojnowski Grzegorz
2022-Jul-01
checkMySequence, cryo-EM, model validation, register shifts, sequence assignment
Using Twitter Data to Understand Public Perceptions of Approved versus Off-label Use for COVID-19-related Medications.
In Journal of the American Medical Informatics Association : JAMIA
OBJECTIVE :
METHODS :
RESULTS :
CONCLUSION :
Hua Yining, Jiang Hang, Lin Shixu, Yang Jie, Plasek Joseph M, Bates David W, Zhou Li
2022-Jul-01
COVID-19, Deep Learning, Drug Safety, Natural Language Processing, Public Health, Social Media

PaCAR: COVID-19 Pandemic Control Decision Making via Large-Scale Agent-Based Modeling and Deep Reinforcement Learning.
In Medical decision making : an international journal of the Society for Medical Decision Making
BACKGROUND :
METHODS :
RESULTS :
LIMITATIONS :
CONCLUSIONS :
HIGHLIGHTS :
Guo Xudong, Chen Peiyu, Liang Shihao, Jiao Zengtao, Li Linfeng, Yan Jun, Huang Yadong, Liu Yi, Fan Wenhui
2022-Jul-01
COVID-19, SARS-CoV-2, agent-based modeling, artificial intelligence, epidemic simulation, health policy, infectious disease, nonpharmaceutical interventions, pandemic control, reinforcement learning
Inference Time of a CamemBERT Deep Learning Model for Sentiment Analysis of COVID Vaccines on Twitter.
In Studies in health technology and informatics ; h5-index 23.0
Guerdoux Guillaume, Tiffet Théophile, Bousquet Cedric
2022-Jun-29
Artificial Intelligence, COVID-19, MLOps, Social Media, Vaccines
Comparison of Non-AI and AI-Enabled M-Health Platforms for COVID-19 Self Screening in Indonesia.
In Studies in health technology and informatics ; h5-index 23.0
Andriani Sekar Putri, Adhyanacarira Padmanaba, Fuad Anis, Pertiwi Ariani Arista Putri
2022-Jun-29
COVID-19, artificial intelligence, mHealth apps, self-screening

Health-Related Content in Transformer-Based Deep Neural Network Language Models: Exploring Cross-Linguistic Syntactic Bias.
In Studies in health technology and informatics ; h5-index 23.0
Samo Giuseppe, Bonan Caterina, Si Fuzhen
2022-Jun-29
COVID-19, Corpora, Knowledge Reproduction, Language Models, Natural Language Processing

Federated Learning and Internet of Medical Things - Opportunities and Challenges.
In Studies in health technology and informatics ; h5-index 23.0
Ali Hazrat, Alam Tanvir, Househ Mowafa, Shah Zubair
2022-Jun-29
Artificial Intelligence, COVID-19, Federated Learning, Healthcare, Internet of Medical Things, Privacy
The Impact of COVID-19 on Mental Health Services in Scotland, UK.
In Studies in health technology and informatics ; h5-index 23.0
Cooke Elizabeth A, Lemanska Agnieszka, Livings Jennifer, Thomas Spencer A
2022-Jun-29
COVID-19, Deep Learning, Mental Health, Visualization

The Role of Artificial Intelligence and Machine Learning During the Covid-19 Pandemic: A Review.
In Studies in health technology and informatics ; h5-index 23.0
Aldhoayan Mohammed D
2022-Jun-29
Artificial Intelligence, Covid-19, Healthcare, Machine Learning

A comprehensive review of artificial intelligence and network based approaches to drug repurposing in Covid-19.
In Biomedicine & pharmacotherapy = Biomedecine & pharmacotherapie
Ahmed Faheem, Soomro Afaque Manzoor, Chethikkattuveli Salih Abdul Rahim, Samantasinghar Anupama, Asif Arun, Kang In Suk, Choi Kyung Hyun
2022-Jun-28
AI on networks, Deep learning, Drug repurposing, Machine learning, Network analysis, Network diffusion, Network proximity

PHILM2Web: A high-throughput database of macromolecular host-pathogen interactions on the Web.
In Database : the journal of biological databases and curation
Le Tuan-Dung, Nguyen Phuong D, Korkin Dmitry, Thieu Thanh
2022-Jun-30

iACVP: markedly enhanced identification of anti-coronavirus peptides using a dataset-specific word2vec model.
In Briefings in bioinformatics
Kurata Hiroyuki, Tsukiyama Sho, Manavalan Balachandran
2022-Jul-01
anti-coronavirus peptide, bioinformatics, deep learning, random forest, transformer, word2vec

Novel extreme regression-voting classifier to predict death risk in vaccinated people using VAERS data.
In PloS one ; h5-index 176.0
Saad Eysha, Sadiq Saima, Jamil Ramish, Rustam Furqan, Mehmood Arif, Choi Gyu Sang, Ashraf Imran
2022

A Self Supervised StyleGAN for Image Annotation and Classification with Extremely Limited Labels.
In IEEE transactions on medical imaging ; h5-index 74.0
Hochberg Dana Cohen, Greenspan Hayit, Giryes Raja
2022-Jun-29

Source code Optimized Parallel Inception: A fast COVID-19 screening software.
In Software impacts
Tavakolian Alireza, Hajati Farshid, Rezaee Alireza, Fasakhodi Amirhossein Oliaei, Uddin Shahadat
2022-Jun-22
COVID-19, Coronavirus, Deep learning, H1N1 virus, Outbreak, Screening

Forecasting new diseases in low-data settings using transfer learning.
In Chaos, solitons, and fractals
Roster Kirstin, Connaughton Colm, Rodrigues Francisco A
2022-Aug
COVID-19, Epidemic forecasting, Machine learning, Transfer learning, Zika
COVID-19 severity detection using machine learning techniques from CT-images.
In Evolutionary intelligence
Aswathy A L, Anand Hareendran S, Chandra S S Vinod
2022-Jun-24
AlexNet, Computed tomography, DenseNet-201, Neural network, ResNet-50, Transfer learning

A Semi-Supervised Learning Approach for COVID-19 Detection from Chest CT Scans.
In Neurocomputing
Zhang Yong, Su Li, Liu Zhenxing, Tan Wei, Jiang Yinuo, Cheng Cheng
2022-Jun-23
Attention mechanisms, COVID-19, Computed tomography, Deep learning, Semi-supervised learning

Lung Ultrasound to Assist ICU Admission Decision-Making Process of COVID-19 Patients With Acute Respiratory Failure.
In Critical care explorations
** :
DESIGN :
SETTING :
PATIENTS :
INTERVENTION :
MEASUREMENTS AND MAIN RESULTS :
CONCLUSIONS :
Aguersif Amazigh, Sarton Benjamine, Bouharaoua Sihem, Gaillard Lucien, Standarovski Denis, Faucoz Orphée, Martin Blondel Guillaume, Khallel Hatem, Thalamas Claire, Sommet Agnes, Riu Béatrice, Morand Eric, Bataille Benoit, Silva Stein
2022-Jun
COVID-19, acute respiratory distress syndrome, acute respiratory failure, intensive care unit admission decision-making, lung ultrasound, machine learning

Deep transfer learning for the recognition of types of face masks as a core measure to prevent the transmission of COVID-19.
In Applied soft computing
Mar-Cupido Ricardo, García Vicente, Rivera Gilberto, Sánchez J Salvador
2022-Jun-23
COVID-19, Deep learning, Face mask, Recognition, Transfer learning

A novel model to predict severe COVID-19 and mortality using an artificial intelligence algorithm to interpret chest radiographs and clinical variables.
In ERJ open research
Background :
Methods :
Results :
Conclusions :
Munera Nicolás, Garcia-Gallo Esteban, Gonzalez Álvaro, Zea José, Fuentes Yuli V, Serrano Cristian, Ruiz-Cuartas Alejandra, Rodriguez Alejandro, Reyes Luis F
2022-Apr

Custom Pretrainings and Adapted 3D-ConvNeXt Architecture for COVID Detection and Severity Prediction
ArXiv Preprint
Daniel Kienzle, Julian Lorenz, Robin Schön, Katja Ludwig, Rainer Lienhart
2022-06-30

De Novo design of potential inhibitors against SARS-CoV-2 Mpro.
In Computers in biology and medicine
Li Shimeng, Wang Lianxin, Meng Jinhui, Zhao Qi, Zhang Li, Liu Hongsheng
2022-Jun-15
Deep learning, Molecular dynamics simulation, Transfer learning, Virtual screening, de novo drug design
Machine learning for prediction of in-hospital mortality in coronavirus disease 2019 patients: results from an Italian multicenter study.
In Journal of cardiovascular medicine (Hagerstown, Md.)
BACKGROUND :
METHODS AND RESULTS :
CONCLUSION :
Vezzoli Marika, Inciardi Riccardo Maria, Oriecuia Chiara, Paris Sara, Murillo Natalia Herrera, Agostoni Piergiuseppe, Ameri Pietro, Bellasi Antonio, Camporotondo Rita, Canale Claudia, Carubelli Valentina, Carugo Stefano, Catagnano Francesco, Danzi Giambattista, Dalla Vecchia Laura, Giovinazzo Stefano, Gnecchi Massimiliano, Guazzi Marco, Iorio Anita, La Rovere Maria Teresa, Leonardi Sergio, Maccagni Gloria, Mapelli Massimo, Margonato Davide, Merlo Marco, Monzo Luca, Mortara Andrea, Nuzzi Vincenzo, Pagnesi Matteo, Piepoli Massimo, Porto Italo, Pozzi Andrea, Provenzale Giovanni, Sarullo Filippo, Senni Michele, Sinagra Gianfranco, Tomasoni Daniela, Adamo Marianna, Volterrani Maurizio, Maroldi Roberto, Metra Marco, Lombardi Carlo Mario, Specchia Claudia
2022-Jul-01

Diagnostic and surgical innovations in otolaryngology for adult and paediatric patients during the COVID-19 era.
In Acta otorhinolaryngologica Italica : organo ufficiale della Societa italiana di otorinolaringologia e chirurgia cervico-facciale
** :
Methods :
Results :
Conclusions :
Petrone Paolo, Birocchi Emanuela, Miani Cesare, Anzivino Roberta, Sciancalepore Pasqua Irene, Di Mauro Antonio, Dalena Paolo, Russo Cosimo, De Ceglie Vincenzo, Masciavè Maurizio, Fiorella Maria Luisa
2022-Apr
COVID-19, SARS-CoV-2, adult, otolaryngology, pediatric, technology

What do we really know about the drivers of undeclared work? An evaluation of the current state of affairs using machine learning.
In AI & society
Franic Josip
2022-Jun-23
Artificial intelligence, EU, Informal economy, Machine learning, Tax evasion, Undeclared work

Predicting the antigenic evolution of SARS-COV-2 with deep learning
bioRxiv Preprint
Han, W.; Chen, N.; Sun, S.; Gao, X.
2022-06-29

A Multilingual Dataset of COVID-19 Vaccination Attitudes on Twitter
ArXiv Preprint
Ninghan Chen, Xihui Chen, Jun Pang
2022-06-27

Learning deep neural networks' architectures using differential evolution. Case study: Medical imaging processing.
In Computers in biology and medicine
Belciug Smaranda
2022-Jul
Cancer MRI scan, Cancer histopathological image, Deep learning, Differential evolution, Maternal-fetal ultrasound, Statistical assessment
Eight pruning deep learning models for low storage and high-speed COVID-19 computed tomography lung segmentation and heatmap-based lesion localization: A multicenter study using COVLIAS 2.0.
In Computers in biology and medicine
BACKGROUND :
METHOD :
RESULTS :
CONCLUSIONS :
Agarwal Mohit, Agarwal Sushant, Saba Luca, Chabert Gian Luca, Gupta Suneet, Carriero Alessandro, Pasche Alessio, Danna Pietro, Mehmedovic Armin, Faa Gavino, Shrivastava Saurabh, Jain Kanishka, Jain Harsh, Jujaray Tanay, Singh Inder M, Turk Monika, Chadha Paramjit S, Johri Amer M, Khanna Narendra N, Mavrogeni Sophie, Laird John R, Sobel David W, Miner Martin, Balestrieri Antonella, Sfikakis Petros P, Tsoulfas George, Misra Durga Prasanna, Agarwal Vikas, Kitas George D, Teji Jagjit S, Al-Maini Mustafa, Dhanjil Surinder K, Nicolaides Andrew, Sharma Aditya, Rathore Vijay, Fatemi Mostafa, Alizad Azra, Krishnan Pudukode R, Yadav Rajanikant R, Nagy Frence, Kincses Zsigmond Tamás, Ruzsa Zoltan, Naidu Subbaram, Viskovic Klaudija, Kalra Manudeep K, Suri Jasjit S
2022-Jul
AI, COVID-19, Deep learning, Glass ground opacities, Hounsfield units, Lung CT, Lung segmentation, Pruning

Diagnosis and prognosis of COVID-19 employing analysis of patients' plasma and serum via LC-MS and machine learning.
In Computers in biology and medicine
OBJECTIVE :
MATERIAL AND METHODS :
RESULTS :
CONCLUSION :
de Fátima Cobre Alexandre, Surek Monica, Stremel Dile Pontarolo, Fachi Mariana Millan, Lobo Borba Helena Hiemisch, Tonin Fernanda Stumpf, Pontarolo Roberto
2022-Jul
Biomarker, COVID 19, Diagnosis, Fatality, Machine learning, Severity

One-step colorimetric isothermal detection of COVID-19 with AI-assisted automated result analysis: A platform model for future emerging point-of-care RNA/DNA disease diagnosis.
In Talanta
Jaroenram Wansadaj, Chatnuntawech Itthi, Kampeera Jantana, Pengpanich Sukanya, Leaungwutiwong Pornsawan, Tondee Benyatip, Sirithammajak Sarawut, Suvannakad Rapheephat, Khumwan Pakapreud, Dangtip Sirintip, Arunrut Narong, Bantuchai Sirasate, Nguitragool Wang, Wongwaroran Suchawit, Khanchaitit Paisan, Sattabongkot Jetsumon, Teerapittayanon Surat, Kiatpathomchai Wansika
2022-Mar-10
Colorimetric RT-LAMP, LAMP-DETR, Machine learning, SARS-CoV-2

Explainable Artificial Intelligence Methods in Combating Pandemics: A Systematic Review.
In IEEE reviews in biomedical engineering
Giuste Felipe, Shi Wenqi, Zhu Yuanda, Naren Tarun, Isgut Monica, Sha Ying, Tong Li, Gupte Mitali, D Wang May
2022-Jun-23

Novel COVID-19 Diagnosis Delivery App Using Computed Tomography Images Analyzed with Saliency-Preprocessing and Deep Learning.
In Tomography (Ann Arbor, Mich.)
Tello-Mijares Santiago, Woo Fomuy
2022-Jun-20
COVID-19, SARS-CoV-2, artificial intelligence, computed tomography, medical diagnostic imaging

In Silico Virtual Screening of Marine Aldehyde Derivatives from Seaweeds against SARS-CoV-2.
In Marine drugs ; h5-index 62.0
Kang Nalae, Heo Seong-Yeong, Cha Seon-Heui, Ahn Ginnae, Heo Soo-Jin
2022-Jun-16
Coronavirus disease 2019, SARS-CoV-2, aldehyde derivatives, in silico, seaweed, virtual screening

Rapid Quantification of SARS-Cov-2 Spike Protein Enhanced with a Machine Learning Technique Integrated in a Smart and Portable Immunosensor.
In Biosensors
Fortunati Simone, Giliberti Chiara, Giannetto Marco, Bolchi Angelo, Ferrari Davide, Donofrio Gaetano, Bianchi Valentina, Boni Andrea, De Munari Ilaria, Careri Maria
2022-Jun-17
COVID-19, IoT-WiFi, SARS-CoV-2, electrochemical immunosensor, gold nanoparticles, machine learning, point of care testing

Smartphone-Based SARS-CoV-2 and Variants Detection System using Colorimetric DNAzyme Reaction Triggered by Loop-Mediated Isothermal Amplification (LAMP) with Clustered Regularly Interspaced Short Palindromic Repeats (CRISPR).
In ACS nano ; h5-index 203.0
Song Jayeon, Cha Baekdong, Moon Jeong, Jang Hyowon, Kim Sunjoo, Jang Jieun, Yong Dongeun, Kwon Hyung-Jun, Lee In-Chul, Lim Eun-Kyung, Jung Juyeon, Park Hyun Gyu, Kang Taejoon
2022-Jun-23
CRISPR-Cas9, SARS-CoV-2, machine learning, smartphone, variants

MLBioIGE: integration and interplay of machine learning and bioinformatics approach to identify the genetic effect of SARS-COV-2 on idiopathic pulmonary fibrosis patients.
In Biology methods & protocols
Tanzir Mehedi Sk, Ahmed Kawsar, Bui Francis M, Rahaman Musfikur, Hossain Imran, Tonmoy Tareq Mahmud, Limon Rakibul Alam, Ibrahim Sobhy M, Moni Mohammad Ali
2022
COVID-19, SARS-CoV-2, differentially expressed genes, gene ontology, idiopathic pulmonary fibrosis, machine learning

COVID-19 Isolation Control Proposal via UAV and UGV for Crowded Indoor Environments: Assistive Robots in the Shopping Malls.
In Frontiers in public health
Aslan Muhammet Fatih, Hasikin Khairunnisa, Yusefi Abdullah, Durdu Akif, Sabanci Kadir, Azizan Muhammad Mokhzaini
2022
COVID-19, HOG, SegNet, Support Vector Machine, UAV, semantic segmentation

Predicting the antigenic evolution of SARS-COV-2 with deep learning
bioRxiv Preprint
Han, W.; Chen, N.; Wang, Y.; Sun, S.; Gao, X.
2022-06-24

Machine learning shows that the Covid-19 pandemic is impacting U.S. public companies unequally by changing risk structures.
In PloS one ; h5-index 176.0
Cao Likun, Ren Jie
2022
A meta-analysis of the diagnostic test accuracy of CT-based radiomics for the prediction of COVID-19 severity.
In La Radiologia medica
INTRODUCTION :
MATERIALS AND METHODS :
RESULTS :
CONCLUSION :
Kao Yung-Shuo, Lin Kun-Te
2022-Jun-22
COVID-19, Computed tomography, Meta-analysis, Radiomics, Textural

Immersive media experience: a survey of existing methods and tools for human influential factors assessment.
In Quality and user experience
Moinnereau Marc-Antoine, de Oliveira Alcyr Alves, Falk Tiago H
2022
Cybersickness, Immersive media experience, Mulsemedia, Quality of experience, Virtual reality

COVID-19 vaccine hesitancy: a social media analysis using deep learning.
In Annals of operations research
Nyawa Serge, Tchuente Dieudonné, Fosso-Wamba Samuel
2022-Jun-16
COVID-19, Deep learning, LSTM, Neural network, Text classification, Twitter, Vaccine hesitancy

SEMA: Antigen B-cell conformational epitope prediction using deep transfer learning
bioRxiv Preprint
Shashkova, T. I.; Umerenkov, D.; Salnikov, M.; Strashnov, P. V.; Konstantinova, A. V.; Lebed, I.; Shcherbinin, D. N.; Asatryan, M. N.; Kardymon, O. L.; Ivanisenko, N. V.
2022-06-21
A Self-Guided Framework for Radiology Report Generation
ArXiv Preprint
Jun Li, Shibo Li, Ying Hu, Huiren Tao
2022-06-19

De novo design of site-specific protein interactions with learned surface fingerprints
bioRxiv Preprint
Gainza, P.; Wehrle, S.; Van Hall-Beauvais, A.; Marchand, A.; Scheck, A.; Harteveld, Z.; Ni, D.; Tan, S.; Sverrisson, F.; Goverde, C.; Turelli, P.; Raclot, C.; Teslenko, A.; Pacesa, M.; Rosset, S.; Georgeon, S.; Marsden, J.; Petruzzella, A.; Liu, K.; Xu, Z.; Chai, Y.; Han, P.; Gao, G. F.; Oricchio, E.; Fierz, B.; Trono, D.; Stahlberg, H.; Bronstein, M.; Correia, B. E.
2022-06-17

Granzyme K+ CD8 T cells form a core population in inflamed human tissue.
In Science translational medicine ; h5-index 138.0
Jonsson A Helena, Zhang Fan, Dunlap Garrett, Gomez-Rivas Emma, Watts Gerald F M, Faust Heather J, Rupani Karishma Vijay, Mears Joseph R, Meednu Nida, Wang Runci, Keras Gregory, Coblyn Jonathan S, Massarotti Elena M, Todd Derrick J, Anolik Jennifer H, McDavid Andrew, Wei Kevin, Rao Deepak A, Raychaudhuri Soumya, Brenner Michael B
2022-Jun-15

Multitask Learning With Recurrent Neural Networks for Acute Respiratory Distress Syndrome Prediction Using Only Electronic Health Record Data: Model Development and Validation Study.
In JMIR medical informatics ; h5-index 23.0
BACKGROUND :
OBJECTIVE :
METHODS :
RESULTS :
CONCLUSIONS :
Lam Carson, Thapa Rahul, Maharjan Jenish, Rahmani Keyvan, Tso Chak Foon, Singh Navan Preet, Casie Chetty Satish, Mao Qingqing
2022-Jun-15
ARDS, COVID-19, clinical decision support, deep learning, diagnostic criteria, electronic health record, health care, multitask learning, neural networks, prediction model, recurrent neural network, respiratory distress, risk outcome

Machine learning applications for COVID-19 outbreak management.
In Neural computing & applications
Heidari Arash, Jafari Navimipour Nima, Unal Mehmet, Toumaj Shiva
2022-Jun-10
Applications, COVID-19, Machine learning, Medical imaging, Outbreak

A novel drone-based system for accurate human temperature measurement and disease symptoms detection using thermography and AI.
In Remote sensing applications : society and environment
Al Maashri Ahmed, Saleem Ashraf, Bourdoucen Hadj, Eldirdiry Omer, Al Ghadani Ahmed
2022-Jun-09

A multiplex protein panel assay for severity prediction and outcome prognosis in patients with COVID-19: An observational multi-cohort study.
In EClinicalMedicine
Background :
Methods :
Findings :
Interpretation :
Funding :
Wang Ziyue, Cryar Adam, Lemke Oliver, Tober-Lau Pinkus, Ludwig Daniela, Helbig Elisa Theresa, Hippenstiel Stefan, Sander Leif-Erik, Blake Daniel, Lane Catherine S, Sayers Rebekah L, Mueller Christoph, Zeiser Johannes, Townsend StJohn, Demichev Vadim, Mülleder Michael, Kurth Florian, Sirka Ernestas, Hartl Johannes, Ralser Markus
2022-Jul
Biomarker, COVID-19, Clinical disease progression, Disease prognosis, LC-MS/MS, Machine learning, SARS-CoV2, Severity stratification, Targeted proteomics

Assessing the effects of data drift on the performance of machine learning models used in clinical sepsis prediction.
In medRxiv : the preprint server for health sciences
Background :
Methods :
Results :
Conclusion :
Rahmani Keyvan, Thapa Rahul, Tsou Peiling, Chetty Satish Casie, Barnes Gina, Lam Carson, Tso Chak Foon
2022-Jun-07

Can machines learn the mutation signatures of SARS-CoV-2 and enable viral-genotype guided predictive prognosis?
In Journal of molecular biology ; h5-index 65.0
MOTIVATION :
RESULTS :
Nagpal Sunil, Kumar Pinna Nishal, Pant Namrata, Singh Rohan, Srivastava Divyanshu, Mande Sharmila S
2022-Jun-11
Genome classification, Machine learning, Mutation identification, Predictive prognosis, SARS-CoV-2

Modeling Trust in COVID-19 Contact-Tracing Apps Using the Human-Computer Trust Scale: Online Survey Study.
In JMIR human factors
BACKGROUND :
OBJECTIVE :
METHODS :
RESULTS :
CONCLUSIONS :
Sousa Sonia, Kalju Tiina
2022-Jun-13
COVID-19, Estonia, app, artificial intelligence, awareness, case study, contact-tracing, covid, design, human factors, human-computer interaction, mHealth, mobile app, mobile health, monitoring, perspective, safety, surveillance, trust, trustworthy AI

Mandating Limits on Workload, Duty, and Speed in Radiology.
In Radiology ; h5-index 91.0
Alexander Robert, Waite Stephen, Bruno Michael A, Krupinski Elizabeth A, Berlin Leonard, Macknik Stephen, Martinez-Conde Susana
2022-Jun-14
Optimal Social Distancing Policy for COVID-19 Control in Korea: A Model-Based Analysis.
In Journal of Korean medical science
BACKGROUND :
METHODS :
RESULTS :
CONCLUSION :
Jo Youngji, Shrestha Sourya, Radnaabaatar Munkhzul, Park Hojun, Jung Jaehun
2022-Jun-13
COVID-19, ICU, Pandemic, SARS-CoV-2, Social Distancing Policy

Covid-MANet: Multi-task attention network for explainable diagnosis and severity assessment of COVID-19 from CXR images.
In Pattern recognition
Sharma Ajay, Mishra Pramod Kumar
2022-Nov
Chest X-ray, Covid-19, Deep learning, Explainable AI, Infection segmentation, Lung segmentation, Transfer learning

COVID-19 news and the US equity market interactions: An inspection through econometric and machine learning lens.
In Annals of operations research
Jana Rabin K, Ghosh Indranil, Jawadi Fredj, Uddin Gazi Salah, Sousa Ricardo M
2022-Jun-08
COVID-19, Co-integration, Detrended cross-correlation analysis, Machine learning, The US equity market

A transfer learning based deep learning model to diagnose covid-19 CT scan images.
In Health and technology
Pandey Sanat Kumar, Bhandari Ashish Kumar, Singh Himanshu
2022-Jun-09
Arterial blood gas analysis, Complete blood count, Image segmentation, Otsu’s, Thresholding

FCF: Feature complement fusion network for detecting COVID-19 through CT scan images.
In Applied soft computing
Liang Shu, Nie Rencan, Cao Jinde, Wang Xue, Zhang Gucheng
2022-Jun-06
COVID-19 detecting, Deep Learning, Feature complement fusion, Weakly supervised learning
A novel multi-scale based deep convolutional neural network for detecting COVID-19 from X-rays.
In Applied soft computing
Karnati Mohan, Seal Ayan, Sahu Geet, Yazidi Anis, Krejcar Ondrej
2022-Jun-06
COVID-19, Chest X-ray, Deep neural network, Internet of things

Detection of COVID-19 Using Deep Learning Techniques and Cost Effectiveness Evaluation: A Survey.
In Frontiers in artificial intelligence
M V Manoj Kumar, Atalla Shadi, Almuraqab Nasser, Moonesar Immanuel Azaad
2022
COVID financial management, COVID-19 diagnosis, artificial intelligence, chest CT, chest X-ray, deep learning, insurance
CXGNet: A tri-phase chest X-ray image classification for COVID-19 diagnosis using deep CNN with enhanced grey-wolf optimizer.
In Biomedical signal processing and control
Gopatoti Anandbabu, Vijayalakshmi P
2022-Aug
COVID-19, Chest X-ray image classification, Convolutional neural networks, Deep learning, Grey-wolf optimization

A machine learning-driven spatio-temporal vulnerability appraisal based on socio-economic data for COVID-19 impact prevention in the U.S. counties.
In Sustainable cities and society
Moosazadeh Mohammad, Ifaei Pouya, Tayerani Charmchi Amir Saman, Asadi Somayeh, Yoo ChangKyoo
2022-Aug
COVID-19 control policies, Data analysis, Machine learning, Social vulnerability, The U.S. cities

A framework for predicting academic orientation using supervised machine learning.
In Journal of ambient intelligence and humanized computing
El Mrabet Hicham, Ait Moussa Abdelaziz
2022-Jun-06
Classification algorithms, Machine learning, Smart school guidance

Clinical Profiles at the Time of Diagnosis of SARS-CoV-2 Infection in Costa Rica During the Pre-vaccination Period Using a Machine Learning Approach.
In Phenomics
** :
Supplementary Information :
Molina-Mora Jose Arturo, González Alejandra, Jiménez-Morgan Sergio, Cordero-Laurent Estela, Brenes Hebleen, Soto-Garita Claudio, Sequeira-Soto Jorge, Duarte-Martínez Francisco
2022-Jun-07
COVID-19, Clinical profiles, Costa Rica, Diagnosis, Machine learning, SARS-CoV-2

Automated Multi-View Multi-Modal Assessment of COVID-19 Patients Using Reciprocal Attention and Biomedical Transform.
In Frontiers in public health
Li Yanhan, Zhao Hongyun, Gan Tian, Liu Yang, Zou Lian, Xu Ting, Chen Xuan, Fan Cien, Wu Meng
2022
COVID-19, computer aided diagnosis, deep learning, multi-modal, multi-view
A Deep Learning Model for Diagnosing COVID-19 and Pneumonia through X-ray.
In Current medical imaging
BACKGROUND :
METHOD :
RESULT :
CONCLUSION :
Liu Xiangbin, Wu Wenqian, Chun-Wei Lin Jerry, Liu Shuai
2022-Jun-10
COVID-19, Deep learning, X-ray, ensemble learning, pneumonia, transfer learning

Digital health education: the need for a digitally ready workforce.
In Archives of disease in childhood. Education and practice edition
Holland Brown Tamsin Mary, Bewick Mike
2022-Jun-13
Covid-19, Technology

Chronic lung lesions in COVID-19 survivors: predictive clinical model.
In BMJ open
OBJECTIVE :
DESIGN :
SETTING :
PARTICIPANTS :
PRIMARY OUTCOME MEASURE :
RESULTS :
CONCLUSION :
Carvalho Carlos Roberto Ribeiro, Chate Rodrigo Caruso, Sawamura Marcio Valente Yamada, Garcia Michelle Louvaes, Lamas Celina Almeida, Cardenas Diego Armando Cardona, Lima Daniel Mario, Scudeller Paula Gobi, Salge João Marcos, Nomura Cesar Higa, Gutierrez Marco Antonio
2022-Jun-13
COVID-19, chest imaging, respiratory medicine (see thoracic medicine)

A finger in every pie - the versatility of chemokines.
In Biomedical journal
Kattner Aila Akosua
2022-Jun-10
COVID-19, allotransplant, chemokine, deep learning, restless leg syndrome

Artificial intelligence-assisted colorimetric lateral flow immunoassay for sensitive and quantitative detection of COVID-19 neutralizing antibody.
In Biosensors & bioelectronics
Tong Haoyang, Cao Chaoyu, You Minli, Han Shuang, Liu Zhe, Xiao Ying, He Wanghong, Liu Chang, Peng Ping, Xue Zhenrui, Gong Yan, Yao Chunyan, Xu Feng
2022-Jun-08
Artificial intelligence, COVID-19, Lateral flow immunoassay, Neutralizing antibody, Polydopamine

Multiphysical graph neural network (MP-GNN) for COVID-19 drug design.
In Briefings in bioinformatics
Li Xiao-Shuang, Liu Xiang, Lu Le, Hua Xian-Sheng, Chi Ying, Xia Kelin
2022-Jun-14
Drug design, Ensemble learning, Graph neural network, Graph representation and featurization, Protein–ligand binding

Practices and attitudes of Bavarian stakeholders regarding the secondary-use of health data for research purposes during the COVID-19 pandemic: a qualitative interview study.
In Journal of medical Internet research ; h5-index 88.0
BACKGROUND :
OBJECTIVE :
METHODS :
RESULTS :
CONCLUSIONS :
CLINICALTRIAL :
McLennan Stuart, Rachut Sarah, Lange Johannes, Fiske Amelia, Heckmann Dirk, Buyx Alena
2022-May-29

Host protease activity classifies pneumonia etiology.
In Proceedings of the National Academy of Sciences of the United States of America
Anahtar Melodi, Chan Leslie W, Ko Henry, Rao Aditya, Soleimany Ava P, Khatri Purvesh, Bhatia Sangeeta N
2022-Jun-21
bacterial infections, diagnostics, nanoparticles, pneumonia, viral infections

CoviXNet: A novel and efficient deep learning model for detection of COVID-19 using chest X-Ray images.
In Biomedical signal processing and control
Srivastava Gaurav, Chauhan Aninditaa, Jangid Mahesh, Chaurasia Sandeep
2022-Jun-08
COVID-19, Chest X-Ray images, Convolutional neural networks, CoviXNet, Deep transfer learning

Forecasting COVID19 parameters using time-series: KSA, USA, Spain, and Brazil comparative case study.
In Heliyon
Larabi-Marie-Sainte Souad, Alhalawani Sawsan, Shaheen Sara, Almustafa Khaled Mohamad, Saba Tanzila, Khan Fatima Nayer, Rehman Amjad
2022-Jun
COVID-19, Drift, Exponential smoothing, Forecasting, Holt, Linear regression, Time-series

A Methodological Framework for the Comparative Evaluation of Multiple Imputation Methods: Multiple Imputation of Race, Ethnicity and Body Mass Index in the U.S. National COVID Cohort Collaborative
ArXiv Preprint
Elena Casiraghi, Rachel Wong, Margaret Hall, Ben Coleman, Marco Notaro, Michael D. Evans, Jena S. Tronieri, Hannah Blau, Bryan Laraway, Tiffany J. Callahan, Lauren E. Chan, Carolyn T. Bramante, John B. Buse, Richard A. Moffitt, Til Sturmer, Steven G. Johnson, Yu Raymond Shao, Justin Reese, Peter N. Robinson, Alberto Paccanaro, Giorgio Valentini, Jared D. Huling, Kenneth Wilkins, :, Tell Bennet, Christopher Chute, Peter DeWitt, Kenneth Gersing, Andrew Girvin, Melissa Haendel, Jeremy Harper, Janos Hajagos, Stephanie Hong, Emily Pfaff, Jane Reusch, Corneliu Antoniescu, Kimberly Robaski
2022-06-13
COVID-19 trajectories among 57 million adults in England: a cohort study using electronic health records.
In The Lancet. Digital health
BACKGROUND :
METHODS :
FINDINGS :
INTERPRETATION :
FUNDING :
Thygesen Johan H, Tomlinson Christopher, Hollings Sam, Mizani Mehrdad A, Handy Alex, Akbari Ashley, Banerjee Amitava, Cooper Jennifer, Lai Alvina G, Li Kezhi, Mateen Bilal A, Sattar Naveed, Sofat Reecha, Torralbo Ana, Wu Honghan, Wood Angela, Sterne Jonathan A C, Pagel Christina, Whiteley William N, Sudlow Cathie, Hemingway Harry, Denaxas Spiros
2022-Jun-08

Multilevel threshold image segmentation for COVID-19 chest radiography: A framework using horizontal and vertical multiverse optimization.
In Computers in biology and medicine
Su Hang, Zhao Dong, Elmannai Hela, Heidari Ali Asghar, Bourouis Sami, Wu Zongda, Cai Zhennao, Gui Wenyong, Chen Mayun
2022-May-18
COVID-19, Meta-heuristic, Multi-threshold image segmentation, Multi-verse optimization, Novel coronavirus pneumonia, Optimization

Multiomic analysis reveals cell-type-specific molecular determinants of COVID-19 severity.
In Cell systems
Zhang Sai, Cooper-Knock Johnathan, Weimer Annika K, Shi Minyi, Kozhaya Lina, Unutmaz Derya, Harvey Calum, Julian Thomas H, Furini Simone, Frullanti Elisa, Fava Francesca, Renieri Alessandra, Gao Peng, Shen Xiaotao, Timpanaro Ilia Sarah, Kenna Kevin P, Baillie J Kenneth, Davis Mark M, Tsao Philip S, Snyder Michael P
2022-Jun-03
COVID-19, GWAS, Mendelian randomization, NK cell, gene discovery, genome-wide association study, machine learning, network analysis, rare variant analysis, single-cell multiomic profiling
Risk stratification models for stroke in patients hospitalized with COVID-19 infection.
In Journal of stroke and cerebrovascular diseases : the official journal of National Stroke Association
OBJECTIVES :
MATERIALS AND METHODS :
RESULTS :
CONCLUSIONS :
Merkler Alexander E, Zhang Cenai, Diaz Ivan, Stewart Carolyn, LeMoss Natalie M, Mir Saad, Parikh Neal, Murthy Santosh, Lin Ning, Gupta Ajay, Iadecola Costantino, Elkind Mitchell S V, Kamel Hooman, Navi Babak B
2022-Jun-02
COVID-19, Cerebrovascular disease, Intracerebral hemorrhage, Risk-stratification, Stroke
Artificial intelligence-based CT metrics used in predicting clinical outcome of COVID-19 in young and middle-aged adults.
In Medical physics ; h5-index 59.0
BACKGROUND :
PURPOSE :
MATERIALS AND METHODS :
RESULTS :
Xudong Yu, Weihong Liu, Feng Xia, Yanli Li, Weishun Lan, Fengjun Zhang, Jiao Gao, Jiawei Li, Xiaolu Huang, Huailiang Huang, Jianye Liang, Sihui Zeng, Chuanmiao Xie, Hanhui Li, Liang Mao
2022-Jun-11
COVID-19, artificial intelligence, distribution, outcome, percentages of infection, quantitative metrics

Using Machine Learning to Efficiently Vaccinate Homebound Patients Against COVID-19: A Real Time Immunization Campaign.
In Journal of medical Internet research ; h5-index 88.0
Kumar Anish, Ren Jen, Ornstein Katherine, Gliatto Peter
2022-Jun-07

Systematic Review on COVID-19 Readmission and Risk Factors: Future of Machine Learning in COVID-19 Readmission Studies.
In Frontiers in public health
Loo Wei Kit, Hasikin Khairunnisa, Suhaimi Anwar, Yee Por Lip, Teo Kareen, Xia Kaijian, Qian Pengjiang, Jiang Yizhang, Zhang Yuanpeng, Dhanalakshmi Samiappan, Azizan Muhammad Mokhzaini, Lai Khin Wee
2022
COVID-19, machine learning, mortality, readmission, risk factors

Early Prediction Model for Critical Illness of Hospitalized COVID-19 Patients Based on Machine Learning Techniques.
In Frontiers in public health
Motivation :
Methods :
Results :
Conclusion :
Fu Yacheng, Zhong Weijun, Liu Tao, Li Jianmin, Xiao Kui, Ma Xinhua, Xie Lihua, Jiang Junyi, Zhou Honghao, Liu Rong, Zhang Wei
2022
COVID-19, LASSO regression, critical illness, machine learning, risk factors

Prediction of COVID-19 using long short-term memory by integrating principal component analysis and clustering techniques.
In Informatics in medicine unlocked
Ilu Saratu Yusuf, Rajesh Prasad, Mohammed Hassan
2022
COVID-19, Classification and clustering, LSTM, Machine learning

Evaluation of a machine learning approach utilizing wearable data for prediction of SARS-CoV-2 infection in healthcare workers.
In JAMIA open
Objective :
Materials and Methods :
Results :
Discussion :
Conclusion :
Hirten Robert P, Tomalin Lewis, Danieletto Matteo, Golden Eddye, Zweig Micol, Kaur Sparshdeep, Helmus Drew, Biello Anthony, Pyzik Renata, Bottinger Erwin P, Keefer Laurie, Charney Dennis, Nadkarni Girish N, Suarez-Farinas Mayte, Fayad Zahi A
2022-Jul
COVID-19, apple watch, coronavirus, machine learning, wearable device
Assessment of the Benefits of Targeted Interventions for Pandemic Control in China Based on Machine Learning Method and Web Service for COVID-19 Policy Simulation.
In Biomedical and environmental sciences : BES
Wu Jie Wen, Jiao Xiao Kang, Du Xin Hui, Jiao Zeng Tao, Liang Zuo Ru, Pang Ming Fan, Ji Han Ran, Cheng Zhi Da, Cai Kang Ning, Qi Xiao Peng
2022-May-20
COVID-19, Compartment model, Intervention policy simulation, Machine learning

Advancing microfluidic diagnostic chips into clinical use: a review of current challenges and opportunities.
In Lab on a chip
Iyer Vasant, Yang Zijian, Ko Jina, Weissleder Ralph, Issadore David
2022-Jun-08

MRI and laboratory monitoring of disease-modifying therapy efficacy and risks.
In Current opinion in neurology
PURPOSE OF REVIEW :
RECENT FINDINGS :
SUMMARY :
Barnett Michael, Barnett Yael, Reddel Stephen
2022-Jun-01

Automatic Detection of Severely and Mildly Infected COVID-19 Patients with Supervised Machine Learning Models.
In Ingenierie et recherche biomedicale : IRBM = Biomedical engineering and research
Objectives :
Material and methods :
Results :
Conclusion :
Huyut M T
2022-Jun-01
Biochemical and hematological biomarkers, COVID-19, Classification, Feature selection methods, Routine blood values, Supervised machine learning models

A Natural Language Processing Tool Offering Data Extraction for COVID-19 Related Information (DECOVRI).
In Studies in health technology and informatics ; h5-index 23.0
Heider Paul M, Pipaliya Ronak M, Meystre Stéphane M
2022-Jun-06
COVID-19, Machine Learning, Natural Language Processing

Identifying New COVID-19 Variants from Spike Proteins Using Novelty Detection.
In Studies in health technology and informatics ; h5-index 23.0
Basu Sayantani, Campbell Roy H
2022-Jun-06
Coronavirus [B04.820.578.500.540.150], Machine Learning [L01.224.050.375.530], Proteins [D12.776]

The Pitfalls of Using Open Data to Develop Deep Learning Solutions for COVID-19 Detection in Chest X-Rays.
In Studies in health technology and informatics ; h5-index 23.0
Harkness Rachael, Hall Geoff, Frangi Alejandro F, Ravikumar Nishant, Zucker Kieran
2022-Jun-06
Computing Methodologies, Data Science, Respiratory Tract Infections

A Sample Size Extractor for RCT Reports.
In Studies in health technology and informatics ; h5-index 23.0
Lin Fengyang, Liu Hao, Moon Paul, Weng Chunhua
2022-Jun-06
Natural Language Processing, Randomized Controlled Trial, Sample Size
Latent Linguistic Motifs in Social Media Postings Resisting COVID-19 Misinformation.
In Studies in health technology and informatics ; h5-index 23.0
Singh Tavleen, Olivares Sofia, Myneni Sahiti
2022-Jun-06
COVID-19, Deep learning, Misinformation

MedSentinel - A Smart Sentinel for Biomedical Online Search Demonstrated by a COVID-19 Search.
In Studies in health technology and informatics ; h5-index 23.0
Schölly Reto, Yazijy Suhail, Kellmeyer Philipp
2022-Jun-06
Data Mining (D057225), Information Services (D007255), Knowledge Bases (D051188)

Development of severity and mortality prediction models for covid-19 patients at emergency department including the chest x-ray.
In Radiologia
OBJECTIVES :
METHODS :
RESULTS :
CONCLUSION :
Calvillo-Batllés P, Cerdá-Alberich L, Fonfría-Esparcia C, Carreres-Ortega A, Muñoz-Núñez C F, Trilles-Olaso L, Martí-Bonmatí L
Artificial intelligence, COVID-19, Chest X-Ray, Inteligencia artificial, Modelos predictivos, Mortalidad, Mortality, Predictive models, Prognosis, Pronóstico, Radiografía torácica
5G in Healthcare: from COVID-19 to Future Challenges.
In IEEE journal of biomedical and health informatics
Moglia Andrea, Georgiou Konstantinos, Marinov Blagoi, Georgiou Evangelos, Berchiolli Raffaella Nice, Satava Richard M, Cuschieri Alfred
2022-Jun-08
Vasculopathy and Increased Vascular Congestion in Fatal COVID-19 and ARDS.
In American journal of respiratory and critical care medicine ; h5-index 108.0
Villalba Julian A, Hilburn Caroline F, Garlin Michelle A, Elliott Grant A, Li Yijia, Kunitoki Keiko, Poli Sergio, Alba George A, Madrigal Emilio, Taso Manuel, Price Melissa C, Aviles Alexis J, Araujo-Medina Milagros, Bonanno Liana, Boyraz Baris, Champion Samantha N, Harris Cynthia K, Helland Timothy L, Hutchison Bailey, Jobbagy Soma, Marshall Michael S, Shepherd Daniel J, Barth Jaimie L, Hung Yin P, Ly Amy, Hariri Lida P, Turbett Sarah E, Pierce Virginia M, Branda John A, Rosenberg Eric S, Mendez-Pena Javier, Chebib Ivan, Rosales Ivy A, Smith Rex N, Miller Miles A, Rosas Ivan O, Hardin Charles C, Baden Lindsey R, Medoff Benjamin D, Colvin Robert B, Little Brent P, Stone James R, Mino-Kenudson Mari, Shih Angela R
2022-Jun-07
ARDS, COVID-19, Vascular Congestion, Vasculopathy, Ventilatory ratio

Deep Transfer Learning for Communicable Disease Detection and Recommendation in Edge Networks.
In IEEE/ACM transactions on computational biology and bioinformatics
Adhikari Mainak, Hazra Abhishek, Nandy Sudarshan
2022-Jun-07

Cash stock strategies during regular and COVID-19 periods for bank branches by deep learning.
In PloS one ; h5-index 176.0
Jariyavajee Chattriya, Lamjiak Taninnuch, Ratanasanya San, Fairee Suthida, Puphaiboon Kreecha, Khompatraporn Charoenchai, Polvichai Jumpol, Sirinaovakul Booncharoen
2022

HPiP: an R/Bioconductor package for predicting host-pathogen protein-protein interactions from protein sequences using ensemble machine learning approach.
In Bioinformatics advances
Motivation :
Results :
Availability and implementation :
Supplementary information :
Rahmatbakhsh Matineh, Moutaoufik Mohamed Taha, Gagarinova Alla, Babu Mohan
2022

A computational framework to support the treatment of bedsores during COVID-19 diffusion.
In Journal of ambient intelligence and humanized computing
Di Martino Ferdinando, Orciuoli Francesco
2022-May-27
Augmented reality, COVID-19, Deep learning, Edge detection, Image segmentation, Pattern matching, Pressure ulcers

Machine learning approach for anxiety and sleep disorders analysis during COVID-19 lockdown.
In Health and technology
Anbarasi L Jani, Jawahar Malathy, Ravi Vinayakumar, Cherian Sherin Miriam, Shreenidhi S, Sharen H
2022-May-30
ANOVA, Anxiety, COVID-19, Cross-sectional study, GAD-7, Insomnia, PSQI

Modeling mutational effects on biochemical phenotypes using convolutional neural networks: application to SARS-CoV-2.
In iScience
Wang Bo, Gamazon Eric R
2022-Jun-02

AI-based production and application of English multimode online reading using multi-criteria decision support system.
In Soft computing
Dong Yifan, Yu Xinyu, Alharbi Abdullah, Ahmad Sultan
2022-May-30
AI, English language, Learning, Multimode, Online reading

Public reactions towards Covid-19 vaccination through twitter before and after second wave in India.
In Social network analysis and mining
Mishra Siddhi, Verma Abhigya, Meena Kavita, Kaushal Rishabh
2022
Covid-19 vaccincation, Machine learning, Sentiment classification

Outcome prediction during an ICU surge using a purely data-driven approach: A supervised machine learning case-study in critically ill patients from COVID-19 Lombardy outbreak.
In International journal of medical informatics ; h5-index 49.0
PURPOSE :
METHODS :
RESULTS :
CONCLUSIONS :
Greco Massimiliano, Angelotti Giovanni, Caruso Pier Francesco, Zanella Alberto, Stomeo Niccolò, Costantini Elena, Protti Alessandro, Pesenti Antonio, Grasselli Giacomo, Cecconi Maurizio
2022-Jun-02
COVID-19, Emergency organization, Epidemiology, ICU management, Machine learning, Outcomes

ImputeCoVNet: 2D ResNet Autoencoder for Imputation of SARS-CoV-2 Sequences
bioRxiv Preprint
Pesaranghader, A.; Pelletier, J.; Grenier, J.-C.; Poujol, R.; Hussin, J.
2022-06-06
Prior-aware autoencoders for lung pathology segmentation.
In Medical image analysis
Astaraki Mehdi, Smedby Örjan, Wang Chunliang
2022-May-25
Healthy image generation, Lung pathology segmentation, Prior-aware deep learning

Exploring Longitudinal Cough, Breath, and Voice Data for COVID-19 Disease Progression Prediction via Sequential Deep Learning: Model Development and Validation.
In Journal of medical Internet research ; h5-index 88.0
BACKGROUND :
OBJECTIVE :
METHODS :
RESULTS :
CONCLUSIONS :
CLINICALTRIAL :
Dang Ting, Han Jing, Xia Tong, Spathis Dimitris, Bondareva Erika, Brown Chloë, Chauhan Jagmohan, Grammenos Andreas, Hasthanasombat Apinan, Floto Andres, Cicuta Pietro, Mascolo Cecilia
2022-Apr-18

Monitoring of sedation in mechanically ventilated patients using remote technology.
In Current opinion in critical care ; h5-index 39.0
PURPOSE OF REVIEW :
RECENT FINDINGS :
SUMMARY :
Hanidziar Dusan, Westover Michael Brandon
2022-Jun-01

Artificial intelligence and clinical deterioration.
In Current opinion in critical care ; h5-index 39.0
PURPOSE OF REVIEW :
RECENT FINDINGS :
SUMMARY :
Malycha James, Bacchi Stephen, Redfern Oliver
2022-Jun-01

New Strategies and Practices of Design Education Under the Background of Artificial Intelligence Technology: Online Animation Design Studio.
In Frontiers in psychology ; h5-index 92.0
Tang Tianran, Li Pengfei, Tang Qiheng
2022
artificial intelligence, deep learning, design education, design studio, education strategy, online