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Contribution of Deep-Learning Techniques Toward Fighting COVID-19: A Bibliometric Analysis of Scholarly Production During 2020.
In IEEE access : practical innovations, open solutions
Chicaiza Janneth, Villota Stephany D, Vinueza-Naranjo Paola G, Rumipamba-Zambrano Ruben
2022
Bibliometric analysis, COVID-19, deep learning, scholarly production

Crowd dynamics research in the era of Covid-19 pandemic: Challenges and opportunities.
In Safety science
Haghani Milad
2022-Sep
Covid-19, Crowd dynamics, Evacuation dynamics, Pandemic, Pedestrian dynamics

FluNet: An AI-Enabled Influenza-Like Warning System.
In IEEE sensors journal
Ward Ryan J, Mark Jjunju Fred Paul, Kabenge Isa, Wanyenze Rhoda, Griffith Elias J, Banadda Noble, Taylor Stephen, Marshall Alan
2021-Nov-01
COVID, COVID-19, Cough detection, SARS, face detection, machine learning

A graph-transformer for whole slide image classification
ArXiv Preprint
Yi Zheng, Rushin H. Gindra, Emily J. Green, Eric J. Burks, Margrit Betke, Jennifer E. Beane, Vijaya B. Kolachalama
2022-05-19

Adjuvant Therapy System of COVID-19 Patient: Integrating Warning, Therapy, Post-Therapy Psychological Intervention.
In IEEE transactions on network science and engineering
Li Miao, Hao Yixue, Ma Yaxiong, Chen Jincai, Hu Long, Chen Min, Hwang Kai, Liu Zhongchun
2022-Jan
5G communication, COVID-19, adjuvant therapy system, blood characteristic

The Impact of COVID-19 Pandemic on LGBTQ Online Communitie
ArXiv Preprint
Yunhao Yuan, Gaurav Verma, Barbara Keller, Talayeh Aledavood
2022-05-19

Real-Time Diagnosis System of COVID-19 Using X-Ray Images and Deep Learning.
In IT professional
Rehman Amjad, Sadad Tariq, Saba Tanzila, Hussain Ayyaz, Tariq Usman
2021-Jul-01

Psychiatric Scale Guided Risky Post Screening for Early Detection of Depression
ArXiv Preprint
Zhiling Zhang, Siyuan Chen, Mengyue Wu, Kenny Q. Zhu
2022-05-19

Automated COVID-19 Grading With Convolutional Neural Networks in Computed Tomography Scans: A Systematic Comparison.
In IEEE transactions on artificial intelligence
de Vente Coen, Boulogne Luuk H, Venkadesh Kiran Vaidhya, Sital Cheryl, Lessmann Nikolas, Jacobs Colin, Sanchez Clara I, van Ginneken Bram
2022-Apr
** CO-RADS, 3-D convolutional neural network (CNN), COVID-19, deep learning, medical imaging**

A Weakly-Supervised Iterative Graph-Based Approach to Retrieve COVID-19 Misinformation Topics
ArXiv Preprint
Harry Wang, Sharath Chandra Guntuku
2022-05-19

Disinformation detection on social media: An integrated approach.
In Multimedia tools and applications
Rastogi Shubhangi, Bansal Divya
2022-May-12
Covid-19, Disinformation, Ensemble, Fake, Machine learning, Neural network, Satire
TransTab: Learning Transferable Tabular Transformers Across Tables
ArXiv Preprint
Zifeng Wang, Jimeng Sun
2022-05-19

Deep Learning-Based COVID-19 Detection Using CT and X-Ray Images: Current Analytics and Comparisons.
In IT professional
Rehman Amjad, Saba Tanzila, Tariq Usman, Ayesha Noor
2021-May-01
Who Goes First? Influences of Human-AI Workflow on Decision Making in Clinical Imaging
ArXiv Preprint
Riccardo Fogliato, Shreya Chappidi, Matthew Lungren, Michael Fitzke, Mark Parkinson, Diane Wilson, Paul Fisher, Eric Horvitz, Kori Inkpen, Besmira Nushi
2022-05-19

A Deep Learning Framework Integrating the Spectral and Spatial Features for Image-Assisted Medical Diagnostics.
In IEEE access : practical innovations, open solutions
Ghosh Susmita, Das Swagatam, Mallipeddi Rammohan
2021
COVID-19 detection, Medical imaging, class imbalance, deep learning, diagnostic solution, discrete cosine transform, discrete wavelet transform, saliency map

Comprehensive analysis of pathways in Coronavirus 2019 (COVID-19) using an unsupervised machine learning method
bioRxiv Preprint
Taheri, G.; Habibi, M.
2022-05-19
A Sub-pixel Accurate Quantification of Joint Space Narrowing Progression in Rheumatoid Arthritis
ArXiv Preprint
Yafei Ou, Prasoon Ambalathankandy, Ryunosuke Furuya, Seiya Kawada, Tianyu Zeng, Yujie An, Tamotsu Kamishima, Kenichi Tamura, Masayuki Ikebe
2022-05-19
Importance of sex and gender factors for COVID-19 infection and hospitalisation: a sex-stratified analysis using machine learning in UK Biobank data.
In BMJ open
OBJECTIVE :
DESIGN :
SETTING :
PARTICIPANTS :
MAIN OUTCOME MEASURES :
RESULTS :
CONCLUSION :
Azizi Zahra, Shiba Yumika, Alipour Pouria, Maleki Farhad, Raparelli Valeria, Norris Colleen, Forghani Reza, Pilote Louise, El Emam Khaled
2022-May-18
COVID-19, health policy, risk management

Project Achoo: A Practical Model and Application for COVID-19 Detection From Recordings of Breath, Voice, and Cough.
In IEEE journal of selected topics in signal processing
Ponomarchuk Alexander, Burenko Ilya, Malkin Elian, Nazarov Ivan, Kokh Vladimir, Avetisian Manvel, Zhukov Leonid
2022-Feb
Acoustic signal processing, Big Data applications, biomedical informatics, machine learning, public heathcare, signal detection
A Geospatial Artificial Intelligence and satellite-based earth observation cognitive system in response to COVID-19.
In Acta astronautica
Atek Sofiane, Pesaresi Cristiano, Eugeni Marco, De Vito Corrado, Cardinale Vincenzo, Mecella Massimo, Rescio Antonello, Petronzio Luca, Vincenzi Aldo, Pistillo Pasquale, Bianchini Filippo, Giusto Gianfranco, Pasquali Giorgio, Gaudenzi Paolo
2022-May-13
Business intelligence, COVID-19, Decision support system, Earth observation, Geospatial artificial intelligence
Explainable artificial intelligence-based edge fuzzy images for COVID-19 detection and identification.
In Applied soft computing
Hu Qinhua, Gois Francisco Nauber B, Costa Rafael, Zhang Lijuan, Yin Ling, Magai Naercio, de Albuquerque Victor Hugo C
2022-May-13
COVID-19, Intern of Things, Multi-input convolutional network, Soft computing, X-ray, XAI

Deep Generative Learning-Based 1-SVM Detectors for Unsupervised COVID-19 Infection Detection Using Blood Tests.
In IEEE transactions on instrumentation and measurement
Dairi Abdelkader, Harrou Fouzi, Sun Ying
2022
COVID-19, deep learning, generative models, routine blood tests, unsupervised anomaly detection

Deep GRU-CNN Model for COVID-19 Detection From Chest X-Rays Data.
In IEEE access : practical innovations, open solutions
Shah Pir Masoom, Ullah Faizan, Shah Dilawar, Gani Abdullah, Maple Carsten, Wang Yulin, Shahid Abrar, Mohammad Islam
2022
CNN, COVID-19, GRU, Medical data, chest X-rays, deep learning

HLAncPred: a method for predicting promiscuous non-classical HLA binding sites.
In Briefings in bioinformatics
Dhall Anjali, Patiyal Sumeet, Raghava Gajendra P S
2022-May-18
COVID-19, binders, non-classical HLA, prediction, standalone, web server
The state of the art for artificial intelligence in lung digital pathology.
In The Journal of pathology
Viswanathan Vidya Sankar, Toro Paula, Corredor Germán, Mukhopadhyay Sanjay, Madabhushi Anant
2022-May-17
Artificial Intelligence, Computational Pathology, Digital Pathology, Lung Diseases, Machine Learning

Validation of Artificial Intelligence to Support the Automatic Coding of Patient Adverse Drug Reaction Reports, Using Nationwide Pharmacovigilance Data.
In Drug safety
INTRODUCTION :
OBJECTIVES :
METHODS :
RESULTS :
CONCLUSIONS :
Martin Guillaume L, Jouganous Julien, Savidan Romain, Bellec Axel, Goehrs Clément, Benkebil Mehdi, Miremont Ghada, Micallef Joëlle, Salvo Francesco, Pariente Antoine, Létinier Louis
2022-May

Development and evaluation of a machine learning-based in-hospital COvid-19 disease outcome predictor (CODOP): a multicontinental retrospective study.
In eLife
Klén Riku, Purohit Disha, Gómez-Huelgas Ricardo, Casas-Rojo José Manuel, Antón-Santos Juan Miguel, Nunez-Cortes Jesus Millan, Lumbreras Carlos, Ramos-Rincon Jose Manuel, Garcia Barrio Noelia, Pedrera Jimenez Miguel, Lalueza Blanco Antonio, Martin-Escalante María Dolores, Rivas-Ruiz Francisco, Onieva-Garcia Mari Ángeles, Young Pablo, Ramirez Juan Ignacio, Titto Omonte Estela Edith, Gross Artega Rosmery, Canales Beltrán Magdy Teresa, Valdez Pascual Ruben, Pugliese Florencia, Castagna Rosa, Huesped Ivan, Boietti Bruno, Pollan Javier A, Funke Nico, Leiding Benjamin, Gómez-Varela David
2022-May-17
computational biology, human, medicine, systems biology

Human phospho-signaling networks of SARS-CoV-2 infection are rewired by population genetic variants.
In Molecular systems biology
Pellegrina Diogo, Bahcheli Alexander T, Krassowski Michal, Reimand Jüri
2022-May

Machine Learning-Based Research for COVID-19 Detection, Diagnosis, and Prediction: A Survey.
In SN computer science
Meraihi Yassine, Gabis Asma Benmessaoud, Mirjalili Seyedali, Ramdane-Cherif Amar, Alsaadi Fawaz E
2022
Artificial intelligence, CNN, COVID-19 detection, COVID-19 diagnosis, COVID-19 prediction, Deep learning, Machine learning

Effective Multiscale Deep Learning Model for COVID19 Segmentation Tasks: A Further Step Towards helping Radiologist.
In Neurocomputing
Qayyum Abdul, Lalande Alain, Meriaudeau Fabrice
2022-May-12
COVID-19 CT segmentation, Multiscale, Deep Learning Models, Lung segmentation

Using unsupervised learning algorithms to identify essential genes associated with SARS-CoV-2 as potential therapeutic targets for COVID-19
bioRxiv Preprint
Taheri, G.; Habibi, M.
2022-05-18

Variation in the ACE2 receptor has limited utility for SARS-CoV-2 host prediction
bioRxiv Preprint
Mollentze, N.; Keen, D.; Munkhbayar, U.; Biek, R.; Streicker, D. G.
2022-05-17

Integration of Innovative Technologies in the Agri-Food Sector: The Fundamentals and Practical Case of DNA-Based Traceability of Olives from Fruit to Oil.
In Plants (Basel, Switzerland)
Ben Ayed Rayda, Hanana Mohsen, Ercisli Sezai, Karunakaran Rohini, Rebai Ahmed, Moreau Fabienne
2022-May-02
DNA technologies, artificial intelligence, big data, blockchain, internet of things, olive fruit, smart agriculture

The 3D-Printing-Accelerated Design for a Biodegradable Respirator from Tree Leaves (TRespirator).
In Polymers
Wang Ziao, Xu Yao, Liu Rulin, Zhu Xi
2022-Apr-21
biodegradable masks, high precision 3D printing, mechanical properties, microplastic, plastic pollution problem

UnbiasedDTI: Mitigating Real-World Bias of Drug-Target Interaction Prediction by Using Deep Ensemble-Balanced Learning.
In Molecules (Basel, Switzerland)
Tayebi Aida, Yousefi Niloofar, Yazdani-Jahromi Mehdi, Kolanthai Elayaraja, Neal Craig J, Seal Sudipta, Garibay Ozlem Ozmen
2022-May-06
ACE2 receptor, SARS-CoV-2, deep learning, drug-target interaction, ensemble learning, machine learning, spike protein
Analysis of the Effects of Lockdown on Staff and Students at Universities in Spain and Colombia Using Natural Language Processing Techniques.
In International journal of environmental research and public health ; h5-index 73.0
Jojoa Mario, Garcia-Zapirain Begonya, Gonzalez Marino J, Perez-Villa Bernardo, Urizar Elena, Ponce Sara, Tobar-Blandon Maria Fernanda
2022-May-07
COVID-19, Swivel embedding, continents, habits, institutions, mental health, natural language processing, online learning, perception, satisfaction, socio-demographic factors, university student, word cloud

Changes in Air-Pollution-Related Information-Seeking Behaviour during the COVID-19 Pandemic in Poland.
In International journal of environmental research and public health ; h5-index 73.0
Nazar Wojciech, Niedoszytko Marek
2022-May-05
COVID-19, Poland, air pollution, information-seeking behaviour, machine learning
Predictive Models for Forecasting Public Health Scenarios: Practical Experiences Applied during the First Wave of the COVID-19 Pandemic.
In International journal of environmental research and public health ; h5-index 73.0
Martin-Moreno Jose M, Alegre-Martinez Antoni, Martin-Gorgojo Victor, Alfonso-Sanchez Jose Luis, Torres Ferran, Pallares-Carratala Vicente
2022-May-03
COVID-19, explanatory models, forecasting, health policy, predictive models, public health
Telemonitoring in Long-COVID Patients-Preliminary Findings.
In International journal of environmental research and public health ; h5-index 73.0
Romaszko-Wojtowicz Anna, Maksymowicz Stanisław, Jarynowski Andrzej, Jaśkiewicz Łukasz, Czekaj Łukasz, Doboszyńska Anna
2022-Apr-26
cardiological and respiratory disorders, long-COVID, telemedicine
Machine Learning and Lean Six Sigma to Assess How COVID-19 Has Changed the Patient Management of the Complex Operative Unit of Neurology and Stroke Unit: A Single Center Study.
In International journal of environmental research and public health ; h5-index 73.0
Improta Giovanni, Borrelli Anna, Triassi Maria
2022-Apr-26
COVID-19, DMAIC, Six Sigma, clinical pathway, health care, statistical analysis

Machine Learning, Deep Learning, and Mathematical Models to Analyze Forecasting and Epidemiology of COVID-19: A Systematic Literature Review.
In International journal of environmental research and public health ; h5-index 73.0
Saleem Farrukh, Al-Ghamdi Abdullah Saad Al-Malaise, Alassafi Madini O, AlGhamdi Saad Abdulla
2022-Apr-22
basic reproduction rate, deep learning, epidemiology of COVID-19, machine learning

Exploring Coronavirus Disease 2019 Vaccine Hesitancy on Twitter Using Sentiment Analysis and Natural Language Processing Algorithms.
In Clinical infectious diseases : an official publication of the Infectious Diseases Society of America
BACKGROUND :
METHODS :
RESULTS :
CONCLUSIONS :
Bari Anasse, Heymann Matthias, Cohen Ryan J, Zhao Robin, Szabo Levente, Apas Vasandani Shailesh, Khubchandani Aashish, DiLorenzo Madeline, Coffee Megan
2022-May-15
COVID-19, Twitter, artificial intelligence, vaccination, vaccine hesitancy

Distinct immune cell dynamics correlate with the immunogenicity and reactogenicity of SARS-CoV-2 mRNA vaccine.
In Cell reports. Medicine
Takano Tomohiro, Morikawa Miwa, Adachi Yu, Kabasawa Kiyomi, Sax Nicolas, Moriyama Saya, Sun Lin, Isogawa Masanori, Nishiyama Ayae, Onodera Taishi, Terahara Kazutaka, Tonouchi Keisuke, Nishimura Masashi, Tomii Kentaro, Yamashita Kazuo, Matsumura Takayuki, Shinkai Masaharu, Takahashi Yoshimasa
2022-Apr-22
SARS-CoV-2, adverse events, cell dynamics, immune correlates, innate immunity, mRNA vaccine, neutralizing antibodies

SSA-Net: Spatial self-attention network for COVID-19 pneumonia infection segmentation with semi-supervised few-shot learning.
In Medical image analysis
Wang Xiaoyan, Yuan Yiwen, Guo Dongyan, Huang Xiaojie, Cui Ying, Xia Ming, Wang Zhenhua, Bai Cong, Chen Shengyong
2022-Apr-22
COVID-19, Few-shot learning, Lesion segmentation, Semi-supervised

Using Artificial Intelligence to Revolutionise the Patient Care Pathway in Hip and Knee Arthroplasty (ARCHERY): Protocol for the Development of a Clinical Prediction Model.
In JMIR research protocols ; h5-index 26.0
BACKGROUND :
OBJECTIVE :
METHODS :
RESULTS :
CONCLUSIONS :
TRIAL REGISTRATION :
INTERNATIONAL REGISTERED REPORT IDENTIFIER (IRRID) :
Farrow Luke, Ashcroft George Patrick, Zhong Mingjun, Anderson Lesley
2022-May-11
arthritis, arthroplasty, artificial intelligence, health care, hip, imaging, knee, machine learning, orthopedics, patient care, prediction modelling

Rapid Method to Quantify the Antiviral Potential of Porous and Nonporous Material Using the Enveloped Bacteriophage Phi6.
In Environmental science & technology ; h5-index 132.0
Reiss Rebecca A, Makhnin Oleg, Lowe Terry C
2022-May-11
SARS CoV-2, antimicrobial, antiviral, copper, materials testing, virucidal, zinc

Designing an integrated responsive-green-cold vaccine supply chain network using Internet-of-Things: artificial intelligence-based solutions.
In Annals of operations research
Goodarzian Fariba, Navaei Ali, Ehsani Behdad, Ghasemi Peiman, Muñuzuri Jesús
2022-May-05
COVID-19 epidemic, Green-cold vaccine supply chain network, Internet-of-Things, OR in medicine, Waste management

Study on transfer learning capabilities for pneumonia classification in chest-x-rays images.
In Computer methods and programs in biomedicine
BACKGROUND :
METHODOLOGY :
RESULTS :
CONCLUSION :
Avola Danilo, Bacciu Andrea, Cinque Luigi, Fagioli Alessio, Marini Marco Raoul, Taiello Riccardo
2022-Apr-22
Deep learning, Explainable AI, Pneumonia classification, Transfer learning

Riding the wave: Predicting the use of the bike-sharing system in Barcelona before and during COVID-19.
In Sustainable cities and society
Bustamante Xavier, Federo Ryan, Fernández-I-Marin Xavier
2022-Aug
Bicing Barcelona, Bike-sharing system, COVID-19, Probabilistic machine learning, Quasi-experimental research, Sustainability, Tactical urbanism

Non-invasive health prediction from visually observable features.
In F1000Research
Khong Fan Yi, Connie Tee, Goh Michael Kah Ong, Wong Li Pei, Teh Pin Shen, Choo Ai Ling
2021
Health prediction, Machine learning, Remote screening and diagnosis

The Conflict Between Explainable and Accountable Decision-Making Algorithms
ArXiv Preprint
Gabriel Lima, Nina Grgić-Hlača, Jin Keun Jeong, Meeyoung Cha
2022-05-11

Identifying Immunological and Clinical Predictors of COVID-19 Severity and Sequelae by Mathematical Modeling.
In Frontiers in immunology ; h5-index 100.0
Elemam Noha M, Hammoudeh Sarah, Salameh Laila, Mahboub Bassam, Alsafar Habiba, Talaat Iman M, Habib Peter, Siddiqui Mehmood, Hassan Khalid Omar, Al-Assaf Omar Yousef, Taneera Jalal, Sulaiman Nabil, Hamoudi Rifat, Maghazachi Azzam A, Hamid Qutayba, Saber-Ayad Maha
2022
Aritficial Intelligence, COVID-19, Machine Learning, RNA seq, ROC analysis, multiplex, transcriptomics

DMDF-Net: Dual multiscale dilated fusion network for accurate segmentation of lesions related to COVID-19 in lung radiographic scans.
In Expert systems with applications
Owais Muhammad, Baek Na Rae, Park Kang Ryoung
2022-Sep-15
COVID-19 lesions segmentation, Computer-aided diagnosis, DMDF-Net, Infection quantification, Lung segmentation

Arabic fake news detection based on deep contextualized embedding models.
In Neural computing & applications
Nassif Ali Bou, Elnagar Ashraf, Elgendy Omar, Afadar Yaman
2022-May-03
Arabic fake news, Contextualized models, Deep learning, Natural language processing

Analyzing the vaccination debate in social media data Pre- and Post-COVID-19 pandemic.
In International journal of applied earth observation and geoinformation : ITC journal
Chen Qingqing, Crooks Andrew
2022-Jun
COVID-19 Pandemic, Sentiment Analysis, Social Media, Time & Space, United States, Vaccination

Non-invasive health prediction from visually observable features.
In F1000Research
Khong Fan Yi, Connie Tee, Goh Michael Kah Ong, Wong Li Pei, Teh Pin Shen, Choo Ai Ling
2021
Health prediction, Machine learning, Remote screening and diagnosis

C-COVIDNet: A CNN Model for COVID-19 Detection Using Image Processing.
In Arabian journal for science and engineering
Rajawat Neha, Hada Bharat Singh, Meghawat Mayank, Lalwani Soniya, Kumar Rajesh
2022-Apr-30
COVID-19 detection, Convolution neural network, Deep learning, Image processing

Cyber Risk Recommendation System for Digital Education Management Platforms.
In Computational intelligence and neuroscience
Yin Xiufang, Chen Yanfang
2022

Face mask detection in COVID-19: a strategic review.
In Multimedia tools and applications
Vibhuti Jindal, Neeru Singh, Harpreet Rana
2022-May-05
COVID-19, Classification, Face mask detection, Object detection

Recognition of Immune Cell Markers of COVID-19 Severity with Machine Learning Methods.
In BioMed research international ; h5-index 102.0
Chen Lei, Mei Zi, Guo Wei, Ding ShiJian, Huang Tao, Cai Yu-Dong
2022
Artificial intelligence for forecasting and diagnosing COVID-19 pandemic: A focused review.
In Artificial intelligence in medicine ; h5-index 34.0
Comito Carmela, Pizzuti Clara
2022-Jun
Artificial intelligence, COVID-19, Deep learning, Diagnosing, Forecasting, Machine learning

Enrichment analysis on regulatory subspaces: A novel direction for the superior description of cellular responses to SARS-CoV-2.
In Computers in biology and medicine
STATEMENT :
MOTIVATION AND METHODS :
RESULTS :
Rodrigues Pedro, Costa Rafael S, Henriques Rui
2022-Apr-25
Biclustering, COVID-19, Computational biology, Discriminative regulatory patterns, Machine learning, SARS-CoV-2, Transcriptomics
ECG-iCOVIDNet: Interpretable AI model to identify changes in the ECG signals of post-COVID subjects.
In Computers in biology and medicine
OBJECTIVE :
METHOD :
RESULTS :
CONCLUSION :
Agrawal Amulya, Chauhan Aniket, Shetty Manu Kumar, P Girish M, Gupta Mohit D, Gupta Anubha
2022-Apr-30
AI in ECG, CNN, COVID, Electrocardiogram (ECG), Interpretability, Post-COVID, Shapley additive exPlanations (ShAP)
Deep neural networks for simultaneously capturing public topics and sentiments during a pandemic. Application to a COVID-19 tweet dataset.
In JMIR medical informatics ; h5-index 23.0
BACKGROUND :
OBJECTIVE :
METHODS :
RESULTS :
CONCLUSIONS :
CLINICALTRIAL :
Boukobza Adrien, Burgun Anita, Roudier Bertrand, Tsopra Rosy
2022-Apr-21

A novel fusion based convolutional neural network approach for classification of COVID-19 from chest X-ray images.
In Biomedical signal processing and control
Sharma Anubhav, Singh Karamjeet, Koundal Deepika
2022-Aug
COVID-19, Chest X-ray, Confidence fusion, Deep learning, Transfer learning

Learning COVID-19 Pneumonia Lesion Segmentation from Imperfect Annotations via Divergence-Aware Selective Training.
In IEEE journal of biomedical and health informatics
Yang Shuojue, Wang Guotai, Sun Hui, Luo Xiangde, Sun Peng, Li Kang, Wang Qijun, Zhang Shaoting
2022-May-06

An assessment of meteorological parameters effects on COVID-19 pandemic in Bangladesh using machine learning models.
In Environmental science and pollution research international
Karmokar Jaionto, Islam Mohammad Aminul, Uddin Machbah, Hassan Md Rakib, Yousuf Md Sayeed Iftekhar
2022-May-06
Bangladesh, CART, COVID-19, DLNM, Lasso, Meteorological parameters, Random Forest
Asymptomatic Transmissibility Calls for Implementing a Zero-COVID Strategy to End the Current Global Crisis.
In Frontiers in cellular and infection microbiology ; h5-index 53.0
Zhang Chaobao, Wang Hongzhi, Wen Zilu, Gu Mingjun, Liu Lianyong, Li Xiangqi
2022
COVID-19, SARS-CoV-2, asymptomatic spread, containment measure, software, artificial intelligence, zero-COVID strategy

Statistical Analysis and Machine Learning Prediction of Disease Outcomes for COVID-19 and Pneumonia Patients.
In Frontiers in cellular and infection microbiology ; h5-index 53.0
Zhao Yu, Zhang Rusen, Zhong Yi, Wang Jingjing, Weng Zuquan, Luo Heng, Chen Cunrong
2022
attention mechanism, clinical indicators, machine learning, pneumonia, statistical analysis, the coronavirus disease 2019
Quantifying depression-related language on social media during the COVID-19 pandemic.
In International journal of population data science
Introduction :
Objectives :
Methods :
Results :
Conclusions :
Davis Brent D, McKnight Dawn Estes, Teodorescu Daniela, Quan-Haase Anabel, Chunara Rumi, Fyshe Alona, Lizotte Daniel J
2020
COVID-19, Twitter, depression, information retrieval, machine learning, public health surveillance, social media
Plasmonic nanosensors for point-of-care biomarker detection.
In Materials today. Bio
Jin Congran, Wu Ziqian, Molinski John H, Zhou Junhu, Ren Yundong, Zhang John X J
2022-Mar
Biomarker, Biosensor, Covid-19, Plasmonic, Point-of-care

Mobile perceived trust mediation on the intention and adoption of FinTech innovations using mobile technology: A systematic literature review.
In F1000Research
Dawood Hatim M, Liew Chee Yoong, Lau Teck Chai
2021
Benefit-Risk framework., Fintech, Mobile Perceived Trust, Mobile technology acceptance model, Net Valence framework, Perceived Benefit, Perceived Risk

Validation of Machine Learning Models to Predict Adverse Outcomes in Patients with COVID-19: A Prospective Pilot Study.
In Yonsei medical journal
PURPOSE :
MATERIALS AND METHODS :
RESULTS :
CONCLUSION :
Kim Hyung-Jun, Heo JoonNyung, Han Deokjae, Oh Hong Sang
2022-May
COVID-19, machine learning, prognosis, prospective studies, validation study

Using supervised learning to analyze the French vaccine debate on Twitter.
In JMIR medical informatics ; h5-index 23.0
BACKGROUND :
OBJECTIVE :
METHODS :
RESULTS :
CONCLUSIONS :
CLINICALTRIAL :
Sauvayre Romy, Vernier Jessica, Chauvière Cédric
2022-May-04
Examining the Implementation of Digital Health to Strengthen COVID-19 Pandemic Response and Recovery and Scale up Equitable Vaccine Access in African Countries.
In JMIR formative research
Olusanya Olufunto A, White Brianna, Melton Chad A, Shaban-Nejad Arash
2022-Apr-21

An Objective Framework for Evaluating Unrecognized Bias in Medical AI Models Predicting COVID-19 Outcomes.
In Journal of the American Medical Informatics Association : JAMIA
OBJECTIVE :
MATERIALS AND METHODS :
RESULTS :
DISCUSSION :
CONCLUSION :
Estiri Hossein, Strasser Zachary H, Rashidian Sina, Klann Jeffrey G, Wagholikar Kavishwar B, McCoy Thomas H, Murphy Shawn N
2022-May-02
Bias, COVID-19, Medical AI, Predictive Model, electronic health records

deepHPI: a comprehensive deep learning platform for accurate prediction and visualization of host-pathogen protein-protein interactions.
In Briefings in bioinformatics
Kaundal Rakesh, Loaiza Cristian D, Duhan Naveen, Flann Nicholas
2022-Apr-30
computational modeling, convolutional neural networks (CNNs), deep learning, host–pathogen interactions, neural networks, prediction

Genome sequencing and analysis of genomic diversity in the locally transmitted SARS-CoV-2 in Pakistan.
In Transboundary and emerging diseases ; h5-index 40.0
Shakeel Muhammad, Irfan Muhammad, Un Nisa Zaib, Farooq Saba, Ul Ain Noor, Iqbal Waseem, Kakar Niamatullah, Jahan Shah, Shahzad Mohsin, Siddiqi Saima, Khan Ishtiaq Ahmad
2022-May-05
COVID-19 pandemic, SARS-CoV-2 lineages, genetic evolution, spatio-temporal surveillance, viral variants

25 (S)-Hydroxycholesterol acts as a possible dual enzymatic inhibitor of SARS-CoV-2 Mpro and RdRp-: an insight from molecular docking and dynamics simulation approaches.
In Journal of biomolecular structure & dynamics
Alzahrani Faisal A, Alkarim Saleh A, Hawsawi Yousef M, Abdulaal Wesam H, Albiheyri Raed, Kurdi Bassem, Alguridi Hassan, El-Magd Mohammed A
2022-May-05
25-hydroxycholesterol, MD simulation, RdRp, SARS-CoV-2, main protease, molecular docking, spike glycoprotein
An externally validated fully automated deep learning algorithm to classify COVID-19 and other pneumonias on chest computed tomography.
In ERJ open research
Purpose :
Methods :
Results :
Conclusion :
Vaidyanathan Akshayaa, Guiot Julien, Zerka Fadila, Belmans Flore, Van Peufflik Ingrid, Deprez Louis, Danthine Denis, Canivet Gregory, Lambin Philippe, Walsh Sean, Occhipinti Mariaelena, Meunier Paul, Vos Wim, Lovinfosse Pierre, Leijenaar Ralph T H
2022-Apr

Sketch guided and progressive growing GAN for realistic and editable ultrasound image synthesis.
In Medical image analysis
Liang Jiamin, Yang Xin, Huang Yuhao, Li Haoming, He Shuangchi, Hu Xindi, Chen Zejian, Xue Wufeng, Cheng Jun, Ni Dong
2022-Apr-26
COVID-19, Generative adversarial networks, Hip joint, Ovary and follicle, Ultrasound image synthesis

Automated Interpretable Discovery of Heterogeneous Treatment Effectiveness: A COVID-19 Case Study.
In Journal of biomedical informatics ; h5-index 55.0
Lengerich Benjamin J, Nunnally Mark E, Aphinyanaphongs Yin, Ellington Caleb, Caruana Rich
2022-Apr-30
COVID-19, Heterogeneous Treatment Effects, Interpretable Machine Learning, Personalized Medicine

Drug repurposing for SARS-CoV-2: a high-throughput molecular docking, molecular dynamics, machine learning, and DFT study.
In Journal of materials science
** :
Supplementary Information :
Kashyap Jatin, Datta Dibakar
2022-Apr-27

COVID - 19 Vaccine Sentiment Analysis using Public Opinions on Twitter.
In Materials today. Proceedings
Chinnasamy P, Suresh V, Ramprathap K, Jency A Jebamani B, Srinivas Rao K, Shiva Kranthi M
2022-Apr-28
Hashtags on Covid Vaccines, Machine Learning Algorithms, Public Sentiments, Sentiment Analysis, Tweets

Distinct miRNAs associated with various clinical presentations of SARS-CoV-2 infection.
In iScience
Zeng Qiqi, Qi Xin, Ma Junpeng, Hu Fang, Wang Xiaorui, Qin Hongyu, Li Mengyang, Huang Shaoxin, Yang Yong, Li Yixin, Bai Han, Jiang Meng, Ren Doudou, Kang Ye, Zhao Yang, Chen Xiaobei, Ding Xi, Ye Di, Wang Yankui, Jiang Jianguo, Li Dong, Chen Xi, Hu Ke, Zhang Binghong, Shi Bingyin, Zhang Chengsheng
2022-Apr-27
Asymptomatic infection, COVID-19, SARS-CoV-2, machine learning, miRNA

Internet of Medical Things for early prediction of COVID-19 using ensemble transfer learning.
In Computers & electrical engineering : an international journal
Roy Pradeep Kumar, Kumar Abhinav
2022-Apr-28
Classification, Convolutional Neural Network, Deep Learning, Ensemble learning, IoMT, Transfer learning

Artificial Intelligence approaches to predict COVID-19 infection in Senegal.
In Procedia computer science
Diallo Abdoulaye, Camara Gaoussou, Camara Fodé, Mboup Aminata
2022
Artificial Intelligence, Coronavirus, Deep Learning, Machine Learning, SARS-CoV2

Evaluation of E-learning Experience in the Light of the Covid-19 in Higher Education.
In Procedia computer science
Al-Smadi Ahmad Mohmmad, Abugabah Ahed, Smadi Ahmad Al
2022
Covid-19, E-learning, Education, Pandemic, Students’ attitudes

Using Machine Learning to Analyze the Impact of Coronavirus Pandemic News on the Stock Markets in GCC Countries.
In Research in international business and finance
Al-Maadid Alanoud, Alhazbi Saleh, Al-Thelaya Khaled
2022-Apr-28
COVID-19, GCC, STOCK MARKETS, machine-learning

Computational Mapping of the Human-SARS-CoV-2 Protein-RNA Interactome
bioRxiv Preprint
Horlacher, M.; Oleshko, S.; Hu, Y.; Cantini, G.; Schinke, P.; Ghanbari, M.; Vergara, E. E.; Bittner, F.; Mueller, N.; Ohler, U.; Moyon, L.; Marsico, A.
2022-05-04

Computational Mapping of the Human-SARS-CoV-2 Protein-RNA Interactome
bioRxiv Preprint
Horlacher, M.; Oleshko, S.; Hu, Y.; Cantini, G.; Schinke, P.; Ghanbari, M.; Vergara, E. E.; Bittner, F.; Mueller, N.; Ohler, U.; Moyon, L.; Marsico, A.
2022-05-02

A Multi-task Gaussian Process Self-attention Neural Network for Real-time Prediction of the Need for Mechanical Ventilators in COVID-19 Patients.
In Journal of biomedical informatics ; h5-index 55.0
OBJECTIVE :
METHODS :
RESULTS :
CONCLUSION :
Zhang Kai, Karanth Siddharth, Patel Bela, Murphy Robert, Jiang Xiaoqian
2022-Apr-27
Deep neural network, Gaussian process, Mechanical ventilation prediction

Diagnosis of COVID-19 via Acoustic Analysis and Artificial Intelligence by Monitoring Breath Sounds on Smartphones.
In Journal of biomedical informatics ; h5-index 55.0
Chen Zhiang, Li Muyun, Wang Ruoyu, Sun Wenzhuo, Liu Jiayi, Li Haiyang, Wang Tianxin, Lian Yuan, Zhang Jiaqian, Wang Xinheng
2022-Apr-27
Acoustic analysis, Breath sound, COVID-19, Convolutional Neural Network (CNN), k-Nearest Neighbors (kNN)
First-onset major depression during the COVID-19 pandemic: A predictive machine learning model.
In Journal of affective disorders ; h5-index 79.0
BACKGROUND :
METHODS :
RESULTS :
LIMITATIONS :
CONCLUSIONS :
Caldirola Daniela, Daccò Silvia, Cuniberti Francesco, Grassi Massimiliano, Alciati Alessandra, Torti Tatiana, Perna Giampaolo
2022-Apr-27
COVID-19, Depression, First-onset, General population, Machine learning, Predictive model

TSRNet: Diagnosis of COVID-19 based on self-supervised learning and hybrid ensemble model.
In Computers in biology and medicine
BACKGROUND :
METHODS :
RESULTS :
CONCLUSION :
Sun Junding, Pi Pengpeng, Tang Chaosheng, Wang Shui-Hua, Zhang Yu-Dong
2022-Apr-16
Attention, COVID-19, CT, Deep learning, Ensemble, Machine learning, Self-supervised learning, Transfer learning
Clinical and Laboratory Profiles of SARS-CoV-2 Delta Variant Compared to Pre-Delta Variants.
In International journal of infectious diseases : IJID : official publication of the International Society for Infectious Diseases
BACKGROUND :
METHODS :
RESULTS :
CONCLUSIONS :
Bhakta Shivang, Sanghavi Devang K, Johnson Patrick W, Kunze Katie L, Neville Matthew R, Wadei Hani M, Bosch Wendelyn, Carter Rickey E, Shah Sadia Z, Pollock Benjamin D, Oman Sven P, Speicher Leigh, Siegel Jason, Libertin Claudia R, Matson Mark W, Franco Pablo Moreno, Cowart Jennifer B
2022-Apr-26
COVID-19, delta variant, genomics, machine learning, variants of concern

A composite ranking of risk factors for COVID-19 time-to-event data from a Turkish cohort.
In Computational biology and chemistry
Ulgen Ayse, Cetin Sirin, Cetin Meryem, Sivgin Hakan, Li Wentian
2022-Apr-09
COVID-19, Competing risks, Composite ranking, Survival analysis

EXPLORING SENTIMENT AND CARE MANAGEMENT OF HOSPITALIZED PATIENTS DURING FIRST WAVE OF COVID-19 PANDEMIC USING ELECTRONIC NURSING HEALTH RECORDS: DESCRIPTIVE STUDY.
In JMIR medical informatics ; h5-index 23.0
BACKGROUND :
OBJECTIVE :
METHODS :
RESULTS :
CONCLUSIONS :
CLINICALTRIAL :
Cuenca-Zaldívar Juan Nicolás, Torrente-Regidor Maria, Martín-Losada Laura, Fernández-DE-Las-Peñas César, Florencio Lidiane Lima, Sousa Pedro Alexandre, Palacios-Ceña Domingo
2022-Apr-21
COVID-19 Vaccination and Public Health Countermeasures on Variants of Concern in Canada: Evidence from a Spatial Hierarchical Cluster Analysis.
In JMIR public health and surveillance
BACKGROUND :
OBJECTIVE :
METHODS :
RESULTS :
CONCLUSIONS :
CLINICALTRIAL :
Adeyinka Daniel, Neudorf Cory, Camillo Cheryl A, Marks Wendie, Muhajarine Nazeem
2022-Apr-26

Digital Technologies to Support Better Outcome and Experience of Care in Patients with Heart Failure.
In Current heart failure reports
PURPOSE OF REVIEW :
RECENT FINDINGS :
McBeath K C C, Angermann C E, Cowie M R
2022-Apr-29
Digital health, Digital technology, Heart failure, Person-centred care, Shared decision-making

Ultrahigh-resolution PM2.5 estimation from top-of-atmosphere reflectance with machine learning: Theories, methods, and applications.
In Environmental pollution (Barking, Essex : 1987)
Yang Qianqian, Yuan Qiangqiang, Li Tongwen
2022-Apr-25
Deep learning, Intra-urban PM(2.5) pollution, Large scale, Top-of-atmosphere reflectance, Ultrahigh resolution
External COVID-19 Deep Learning Model Validation on ACR AI-LAB: It's a Brave New World.
In Journal of the American College of Radiology : JACR
PURPOSE :
METHODS :
RESULTS :
CONCLUSIONS :
Ardestani Ali, Li Matthew D, Chea Pauley, Wortman Jeremy R, Medina Adam, Kalpathy-Cramer Jayashree, Wald Christoph
2022-Apr-08
ACR AI-LAB, AI, COVID-19, chest radiograph, local testing

Explainability of radiomics through formal methods.
In Computer methods and programs in biomedicine
BACKGROUND AND OBJECTIVE :
METHODS :
RESULTS :
CONCLUSIONS :
Varriano Giulia, Guerriero Pasquale, Santone Antonella, Mercaldo Francesco, Brunese Luca
2022-Apr-19
Artificial intelligence, COVID-19, Explainability, Formal methods, Model checking, Radiomics

A machine learning-based approach to determine infection status in recipients of BBV152 (Covaxin) whole-virion inactivated SARS-CoV-2 vaccine for serological surveys.
In Computers in biology and medicine
Singh Prateek, Ujjainiya Rajat, Prakash Satyartha, Naushin Salwa, Sardana Viren, Bhatheja Nitin, Singh Ajay Pratap, Barman Joydeb, Kumar Kartik, Gayali Saurabh, Khan Raju, Rawat Birendra Singh, Tallapaka Karthik Bharadwaj, Anumalla Mahesh, Lahiri Amit, Kar Susanta, Bhosale Vivek, Srivastava Mrigank, Mugale Madhav Nilakanth, Pandey C P, Khan Shaziya, Katiyar Shivani, Raj Desh, Ishteyaque Sharmeen, Khanka Sonu, Rani Ankita, Promila Sharma, Jyotsna Seth, Anuradha Dutta, Mukul Saurabh, Nishant Veerapandian, Murugan Venkatachalam, Ganesh Bansal, Deepak Gupta, Dinesh Halami, Prakash M Peddha, Muthukumar Serva Veeranna, Ravindra P Pal, Anirban Singh, Ranvijay Kumar Anandasadagopan, Suresh Kumar Karuppanan, Parimala Rahman, Syed Nasar Selvakumar, Gopika Venkatesan, Subramanian Karmakar, Malay Kumar Sardana, Harish Kumar Kothari, Anamika Parihar, Devendra Singh Thakur, Anupma Saifi, Anas Gupta, Naman Singh, Yogita Reddu, Ritu Gautam, Rizul Mishra, Anuj Mishra, Avinash Gogeri, Iranna Rayasam, Geethavani Padwad, Yogendra Patial, Vikram Hallan, Vipin Singh, Damanpreet Tirpude, Narendra Chakrabarti, Partha Maity, Sujay Krishna Ganguly, Dipyaman Sistla, Ramakrishna Balthu, Narender Kumar A, Kiran Kumar Ranjith, Siva Kumar, B Vijay Jamwal, Piyush Singh Wali, Anshu Ahmed, Sajad Chouhan, Rekha Gandhi, Sumit G Sharma, Nancy Rai, Garima Irshad, Faisal Jamwal, Vijay Lakshmi Paddar, Masroor Ahmad Khan, Sameer Ullah Malik, Fayaz Ghosh, Debashish Thakkar, Ghanshyam Barik, S K Tripathi, Prabhanshu Satija, Yatendra Kumar Mohanty, Sneha Khan, Md Tauseef Subudhi, Umakanta Sen, Pradip Kumar, Rashmi Bhardwaj, Anshu Gupta, Pawan Sharma, Deepak Tuli, Amit Ray Chaudhuri, Saumya Krishnamurthi, Srinivasan Prakash, L Rao, Ch V Singh, B N Chaurasiya, Arvindkumar Chaurasiyar, Meera Bhadange, Mayuri Likhitkar, Bhagyashree Mohite, Sharada Patil, Yogita Kulkarni, Mahesh Joshi, Rakesh Pandya, Vaibhav Mahajan, Sachin Patil, Amita Samson, Rachel Vare, Tejas Dharne, Mahesh Giri, Ashok Mahajan, Sachin Paranjape, Shilpa Sastry, G Narahari Kalita, Jatin Phukan, Tridip Manna, Prasenjit Romi, Wahengbam Bharali, Pankaj Ozah, Dibyajyoti Sahu, Ravi Kumar Dutta, Prachurjya Singh, Moirangthem Goutam Gogoi, Gayatri Tapadar, Yasmin Begam Babu, Elapavalooru Vssk Sukumaran, Rajeev K Nair, Aishwarya R Puthiyamadam, Anoop Valappil, Prajeesh Kooloth Pillai Prasannakumari, Adrash Velayudhan Chodankar, Kalpana Damare, Samir Agrawal, Ved Varun Chaudhary, Kumardeep Agrawal, Anurag Sengupta, Shantanu Dash
2022-Apr-25
BBV152, COVID-19, Covaxin, Ensemble methods, Infection, Machine learning, SARS-CoV-2

An investigation of traffic density changes inside Wuhan during the COVID-19 epidemic with GF-2 time-series images.
In International journal of applied earth observation and geoinformation : ITC journal
Wu Chen, Guo Yinong, Guo Haonan, Yuan Jingwen, Ru Lixiang, Chen Hongruixuan, Du Bo, Zhang Liangpei
2021-Dec-01
COVID-19, GF-2, Remote sensing, Time-series images, Traffic density changes, Wuhan lockdown

Prediction Model of Adverse Effects on Liver Functions of COVID-19 ICU Patients.
In Journal of healthcare engineering
Mashraqi Aisha, Halawani Hanan, Alelyani Turki, Mashraqi Mutaib, Makkawi Mohammed, Alasmari Sultan, Shaikh Asadullah, Alshehri Ahmad
2022

Selecting a stable solid form of remdesivir using microcrystal electron diffraction and crystal structure prediction.
In RSC advances
Sekharan Sivakumar, Liu Xuetao, Yang Zhuocen, Liu Xiang, Deng Li, Ruan Shigang, Abramov Yuriy, Sun GuangXu, Li Sizhu, Zhou Tian, Shi Baime, Zeng Qun, Zeng Qiao, Chang Chao, Jin Yingdi, Shi Xuekun
2021-May-06

A machine learning and clustering-based approach for county-level COVID-19 analysis.
In PloS one ; h5-index 176.0
Nicholson Charles, Beattie Lex, Beattie Matthew, Razzaghi Talayeh, Chen Sixia
2022

Authors Reply: Using social media to recruit research participants should proceed with caution. Comment on Telemanagement of Home-Isolated COVID-19 Patients Using Oxygen Therapy With Noninvasive Positive Pressure Ventilation and Physical Therapy Techniques: Randomized Clinical Trial.
In Journal of medical Internet research ; h5-index 88.0
Adly Aya Sedky, Adly Mahmoud Sedky, Adly Afnan Sedky
2022-Apr-26

COVID-19 vaccine hesitancy in eight European countries: Prevalence, determinants, and heterogeneity.
In Science advances
Steinert Janina I, Sternberg Henrike, Prince Hannah, Fasolo Barbara, Galizzi Matteo M, Büthe Tim, Veltri Giuseppe A
2022-Apr-29
6G and Artificial Intelligence Technologies for Dementia Care: Literature Review and Practical Analysis.
In Journal of medical Internet research ; h5-index 88.0
BACKGROUND :
OBJECTIVE :
METHODS :
RESULTS :
CONCLUSIONS :
Su Zhaohui, Bentley Barry L, McDonnell Dean, Ahmad Junaid, He Jiguang, Shi Feng, Takeuchi Kazuaki, Cheshmehzangi Ali, da Veiga Claudimar Pereira
2022-Apr-27
6G, COVID-19, artificial intelligence, dementia, digital health, first-perspective health solutions

Supply chain disruption during the COVID-19 pandemic: Recognizing potential disruption management strategies.
In International journal of disaster risk reduction : IJDRR
Moosavi Javid, Fathollahi-Fard Amir M, Dulebenets Maxim A
2022-Jun-01
Bibliometric and network analysis, COVID-19, Literature review, Resilience, Supply chain disruption, Sustainability
A deep fuzzy model for diagnosis of COVID-19 from CT images.
In Applied soft computing
Song Liping, Liu Xinyu, Chen Shuqi, Liu Shuai, Liu Xiangbin, Muhammad Khan, Bhattacharyya Siddhartha
2022-Apr-22
COVID-19, CT images, Deep learning, Disease prediction, Feature extraction, Fuzzy model

Machine Learning Approach to Community Detection in a High-Entropy Alloy Interaction Network.
In ACS omega
Ghouchan Nezhad Noor Nia Raheleh, Jalali Mehrdad, Mail Matthias, Ivanisenko Yulia, Kübel Christian
2022-Apr-19

Covid-19 fake news sentiment analysis.
In Computers & electrical engineering : an international journal
Iwendi Celestine, Mohan Senthilkumar, Khan Suleman, Ibeke Ebuka, Ahmadian Ali, Ciano Tiziana
2022-Jul
Deep learning, Emotions, Fake news, Mining, NLP, Social media

Trends in inflammatory bowel disease infections and vaccinations in the past four decades: A high-level text mining analysis of PubMed publications.
In Human vaccines & immunotherapeutics ; h5-index 43.0
AIM :
METHODS :
RESULTS :
CONCLUSIONS :
Klang Eyal, Soffer Shelly, Shachar Eyal, Lahat Adi
2022-Apr-26
Machine learning, artificial intelligence, biologic treatment, complications, infections, inflammatory bowel disease, vaccines

Coronavirus: a comparative analysis of detection technologies in the wake of emerging variants.
In Infection
Sharma Shagun, Shrivastava Surabhi, Kausley Shankar B, Rai Beena, Pandit Aniruddha B
2022-Apr-26
COVID-19, Diagnostic devices, Infectious disease, Point-of-care, SARS-CoV-2, Variants
Deep learning representations to support COVID-19 diagnosis on CT slices.
In Biomedica : revista del Instituto Nacional de Salud
INTRODUCTION :
OBJECTIVE :
MATERIALS AND METHODS :
RESULTS :
CONCLUSION :
Ruano Josué, Arcila John, Romo-Bucheli David, Vargas Carlos, Rodríguez Jefferson, Mendoza Óscar, Plazas Miguel, Bautista Lola, Villamizar Jorge, Pedraza Gabriel, Moreno Alejandra, Valenzuela Diana, Vázquez Lina, Valenzuela-Santos Carolina, Camacho Paul, Mantilla Daniel, Martínez Carrillo Fabio
2022-Mar-01

Artificial intelligence at the time of COVID-19: who does the lion's share?
In Clinical chemistry and laboratory medicine ; h5-index 46.0
OBJECTIVES :
METHODS :
RESULTS :
CONCLUSIONS :
Negrini Davide, Danese Elisa, Henry Brandon M, Lippi Giuseppe, Montagnana Martina
2022-Apr-25
COVID-19, artificial intelligence, deep learning, digital health, machine learning

Building a predictive model to identify clinical indicators for COVID-19 using machine learning method.
In Medical & biological engineering & computing ; h5-index 32.0
Deng Xinlei, Li Han, Liao Xin, Qin Zhiqiang, Xu Fan, Friedman Samantha, Ma Gang, Ye Kun, Lin Shao
2022-Apr-25
COVID-19, Community-acquired pneumonia, Machine learning, Predictor
Prediction of SARS-CoV-2 Infection With a Symptoms-Based Model to Aid Public Health Decision Making in Latin America and other Low and Middle Income Settings.
In Preventive medicine reports
Ramírez Varela Andrea, Moreno López Sergio, Contreras-Arrieta Sandra, Tamayo-Cabeza Guillermo, Restrepo-Restrepo Silvia, Sarmiento-Barbieri Ignacio, Caballero-Díaz Yuldor, Jorge Hernandez-Florez Luis, Mario González John, Salas-Zapata Leonardo, Laajaj Rachid, Buitrago-Gutierrez Giancarlo, de la Hoz-Restrepo Fernando, Vives Florez Martha, Osorio Elkin, Sofía Ríos-Oliveros Diana, Behrentz Eduardo
2022-Apr-20
COVID-19, SARS-CoV-2, anosmia, logistic model, machine learning, symptoms

Dealing with the COVID-19 crisis: Theoretical application of social media analytics in government crisis management.
In Public relations review
Chon Myoung-Gi, Kim Seonwoo
2022-Sep
Attribution theory, COVID-19, Government crisis management, Machine learning, Social media analytics
COVID-19 GPH: tracking the contribution of genomics and precision health to the COVID-19 pandemic response.
In BMC infectious diseases ; h5-index 58.0
Yu Wei, Drzymalla Emily, Gwinn Marta, Khoury Muin J
2022-Apr-25
COVID-19, Database, Genomics, Precision Public Health, SARS-CoV-2

AutoCoV: tracking the early spread of COVID-19 in terms of the spatial and temporal patterns from embedding space by K-mer based deep learning.
In BMC bioinformatics
BACKGROUND :
RESULTS :
CONCLUSIONS :
Sung Inyoung, Lee Sangseon, Pak Minwoo, Shin Yunyol, Kim Sun
2022-Apr-25
COVID-19, Deep learning, Early spreading pattern, SARS-CoV-2, Sequence embedding

Discovery of new senolytics using machine learning
bioRxiv Preprint
Smer-Barreto, V.; Quintanilla, A.; Elliot, R. J.; Dawson, J. C.; Sun, J.; Carragher, N.; Acosta, J. C.; Oyarzun, D. A.
2022-04-27

Mobile perceived trust mediation on the intention and adoption of FinTech innovations using mobile technology: A systematic literature review.
In F1000Research
Dawood Hatim M, Liew Chee Yoong, Lau Teck Chai
2021
Benefit-Risk framework., Fintech, Mobile Perceived Trust, Mobile technology acceptance model, Net Valence framework, Perceived Benefit, Perceived Risk

The Role of Machine Learning and Artificial Intelligence for making a Digital Classroom and its sustainable Impact on Education during Covid-19.
In Materials today. Proceedings
Ara Shaikh Asmat, Kumar Anuj, Jani Kruti, Mitra Saloni, García-Tadeo Diego A, Devarajan Agilandeswari
2022
Artificial Intelligence (AI), Covid-19, E-learning, Education, Machine Learning (ML), Pandemic
An online advertising intervention to increase adherence to stay-at-home-orders during the COVID-19 pandemic: An efficacy trial monitoring individual-level mobility data.
In International journal of applied earth observation and geoinformation : ITC journal
Garett Renee R, Yang Jiannan, Zhang Qingpeng, Young Sean D
2022-Apr
Artificial intelligence, COVID-19, Digital health, Intervention, Mobility

A face detection ensemble to monitor the adoption of face masks inside the public transportation during the COVID-19 pandemic.
In Multimedia tools and applications
Canário João Paulo, Ferreira Marcos Vinícius, Freire Junot, Carvalho Matheus, Rios Ricardo
2022-Apr-20
Covid-19, Deep Learning, Ensemble models, Face detection, Mask detection

Implementation of smart social distancing for COVID-19 based on deep learning algorithm.
In Multimedia tools and applications
Haq Izaz Ul, Du Xianjun, Jan Haseeb
2022-Apr-20
Audio signal, Covid-19, Deep learning, Pandemic, Social distancing

Impact of Different Styles of Online Course Videos on Students' Attention During the COVID-19 Pandemic.
In Frontiers in public health
Background :
Methods :
Results :
Conclusions :
Gao Qi, Tan Ying
2022
COVID-19, EEG, “Mayers theories of multimedia technology”, classroom attention, sample entropy

Sentimental and spatial analysis of COVID-19 vaccines tweets.
In Journal of intelligent information systems
Umair Areeba, Masciari Elio
2022-Apr-15
COVID, Sentimental analysis, Spatial analysis, Vaccine hesitancy, Vaccines

Leveraging deep learning for COVID-19 diagnosis through chest imaging.
In Neural computing & applications
Khurana Yashika, Soni Umang
2022-Apr-19
COVID-19, Chest imaging, Convolutional neural network, Deep learning

Multi-omic analysis reveals enriched pathways associated with COVID-19 and COVID-19 severity.
In PloS one ; h5-index 176.0
Lipman Danika, Safo Sandra E, Chekouo Thierry
2022
Recurrent neural network models (CovRNN) for predicting outcomes of patients with COVID-19 on admission to hospital: model development and validation using electronic health record data.
In The Lancet. Digital health
BACKGROUND :
METHODS :
FINDINGS :
INTERPRETATION :
FUNDING :
Rasmy Laila, Nigo Masayuki, Kannadath Bijun Sai, Xie Ziqian, Mao Bingyu, Patel Khush, Zhou Yujia, Zhang Wanheng, Ross Angela, Xu Hua, Zhi Degui
2022-Apr-21

Predicting in-hospital length of stay: a two-stage modeling approach to account for highly skewed data.
In BMC medical informatics and decision making ; h5-index 38.0
BACKGROUND :
METHODS :
RESULTS :
DISCUSSION :
CONCLUSIONS :
Xu Zhenhui, Zhao Congwen, Scales Charles D, Henao Ricardo, Goldstein Benjamin A
2022-Apr-24
Clinical decision support, Electronic health records, Machine learning, Surgical outcomes
Quantum-classical convolutional neural networks in radiological image classification
ArXiv Preprint
Andrea Matic, Maureen Monnet, Jeanette Miriam Lorenz, Balthasar Schachtner, Thomas Messerer
2022-04-26

Mapping state-sponsored information operations with multi-view modularity clustering.
In EPJ data science
Uyheng Joshua, Cruickshank Iain J, Carley Kathleen M
2022
COVID-19 pandemic, Information operations, Multi-view modularity clustering, Social cyber-security, State-sponsored disinformation, Unsupervised machine learning

Pre-trained ensemble model for identification of emotion during COVID-19 based on emergency response support system dataset.
In Applied soft computing
Nimmi K, Janet B, Selvan A Kalai, Sivakumaran N
2022-Apr-18
BERT, COVID-19, Deep learning, DistilBERT, Emergency response support system (ERSS), Emotion detection., Ensemble model, Health emergency, RoBERTa
COVID-opt-aiNet: A clinical decision support system for COVID-19 detection.
In International journal of imaging systems and technology
Kanwal Summrina, Khan Faiza, Alamri Sultan, Dashtipur Kia, Gogate Mandar
2022-Mar
COVID‐19, bidirectional long‐short‐term memory, clinical decision support system, convolution neural network, deep learning neural network, feature selection, optimized artificial immune network, support vector machine

Detection and diagnosis of COVID-19 infection in lungs images using deep learning techniques.
In International journal of imaging systems and technology
Kumar Arun, Mahapatra Rajendra Prasad
2022-Mar
COVID‐19, classification, convolution neural network, deep neural network, segmentation

A lightweight capsule network architecture for detection of COVID-19 from lung CT scans.
In International journal of imaging systems and technology
Tiwari Shamik, Jain Anurag
2022-Mar
COVID‐19, CapsNet, DenseNet, MobileNet, ResNet, VGG16, deep learning, lung CT scan
Can laboratory parameters be an alternative to CT and RT-PCR in the diagnosis of COVID-19? A machine learning approach.
In International journal of imaging systems and technology
Kalaycı Mehmet, Ayyıldız Hakan, Tuncer Seda Arslan, Bozdag Pinar Gundogan, Karlidag Gulden Eser
2022-Mar
COVID‐19, artificial intelligence, laboratory parameters, machine learning
MDGNN: Microbial Drug Prediction Based on Heterogeneous Multi-Attention Graph Neural Network.
In Frontiers in microbiology
Pi Jiangsheng, Jiao Peishun, Zhang Yang, Li Junyi
2022
SARS-CoV-2, antimicrobial drug prediction, graph convolution networks (GCN), heterogeneous network (Het-Net), representation learning

Multimodal covid network: Multimodal bespoke convolutional neural network architectures for COVID-19 detection from chest X-ray's and computerized tomography scans.
In International journal of imaging systems and technology
Padmapriya Thiyagarajan, Kalaiselvi Thiruvenkatam, Priyadharshini Venugopal
2022-Jan-31
COVID‐19, CT scans, artificial intelligence, chest X‐rays, convolutional neural networks, coronavirus disease, deep neural networks

Genomic Surveillance of COVID-19 Variants With Language Models and Machine Learning.
In Frontiers in genetics ; h5-index 62.0
Nagpal Sargun, Pal Ridam, Ashima Tyagi, Ananya Tripathi, Sadhana Nagori, Aditya Ahmad, Saad Mishra, Hara Prasad Malhotra, Rishabh Kutum, Rintu Sethi
2022
SARS-CoV-2, genomic surveillance, natural language preprocessing, supervised predictions, unsupervised modeling

Twitter Sentiment Analysis Using Ensemble based Deep Learning Model towards COVID-19 in India and European Countries.
In Pattern recognition letters
Sunitha D, Patra Raj Kumar, Babu N V, Suresh A, Gupta Suresh Chand
2022-Apr-18
The medical and societal impact of big data analytics and artificial intelligence applications in combating pandemics: A review focused on Covid-19.
In Social science & medicine (1982)
Galetsi Panagiota, Katsaliaki Korina, Kumar Sameer
2022-Apr-12
Artificial intelligence, Big data analytics, Covid-19 pandemic, Diversity equity and inclusion, PRISMA, Prediction models, Public health, Social medicine

Computational prediction of potential inhibitors for SARS-COV-2 main protease based on machine learning, docking, MM-PBSA calculations, and metadynamics.
In PloS one ; h5-index 176.0
Gomes Isabela de Souza, Santana Charles Abreu, Marcolino Leandro Soriano, Lima Leonardo Henrique França de, Melo-Minardi Raquel Cardoso de, Dias Roberto Sousa, de Paula Sérgio Oliveira, Silveira Sabrina de Azevedo
2022

Novel quantification of regional fossil fuel CO2 reductions during COVID-19 lockdowns using atmospheric oxygen measurements.
In Science advances
Pickers Penelope A, Manning Andrew C, Le Quéré Corinne, Forster Grant L, Luijkx Ingrid T, Gerbig Christoph, Fleming Leigh S, Sturges William T
2022-Apr-22
Global Aging and Cancer: Advancing Care Through Innovation.
In American Society of Clinical Oncology educational book. American Society of Clinical Oncology. Annual Meeting
Extermann Martine, Hernández-Favela Celia Gabriela, Soto Perez de Celis Enrique, Kanesvaran Ravindran
2022-Apr

Global Scientific Research Landscape on Medical Informatics From 2011 to 2020: Bibliometric Analysis.
In JMIR medical informatics ; h5-index 23.0
BACKGROUND :
OBJECTIVE :
METHODS :
RESULTS :
CONCLUSIONS :
He Xuefei, Peng Cheng, Xu Yingxin, Zhang Ye, Wang Zhongqing
2022-Apr-21
VOSviewer, bibliometrics, data visualization, medical informatics
COVID-19 pneumonia chest radiographic severity score: Variability assessment among experienced and In-training radiologists and creation of a Multi-reader composite score database for artificial intelligence algorithm development.
In The British journal of radiology
OBJECTIVE :
METHODS :
RESULTS :
CONCLUSION :
ADVANCES IN KNOWLEDGE :
van Assen Marly, Zandehshahvar Mohammadreza, Maleki Hossein, Kiarashi Yashar, Arleo Timothy, Stillman Arthur E, Filev Peter, Davarpanah Amir H, Berkowitz Eugene A, Tigges Stefan, Lee Scott J, Vey Brianna L, Adibi Ali, De Cecco Carlo Nicola
2022-Apr-22

Viruses Broaden the Definition of Life by Genomic Incorporation of Artificial Intelligence and Machine Learning Processes.
In Current neuropharmacology
Stefano George B, Kream Richard M
2022-Apr-20
Artificial Intelligence, Long-COVID, SARS-CoV-2; RNA-dependent RNA polymerase, Virus, eukaryotic genome, mitochondrial genome

Assessing clinical applicability of COVID-19 detection in chest radiography with deep learning.
In Scientific reports ; h5-index 158.0
Pedrosa João, Aresta Guilherme, Ferreira Carlos, Carvalho Catarina, Silva Joana, Sousa Pedro, Ribeiro Lucas, Mendonça Ana Maria, Campilho Aurélio
2022-Apr-21

Virtualized Gamified Pharmacy Simulation during COVID-19.
In Pharmacy (Basel, Switzerland)
Hope Denise L, Grant Gary D, Rogers Gary D, King Michelle A
2022-Mar-26
active learning, experiential learning, gamification, pharmacy education, simulation, virtualization

COVID-19 deaths: Which explanatory variables matter the most?
In PloS one ; h5-index 176.0
Riley Pete, Riley Allison, Turtle James, Ben-Nun Michal
2022

The Galaxy platform for accessible, reproducible and collaborative biomedical analyses: 2022 update.
In Nucleic acids research ; h5-index 217.0
**
2022-Apr-21

An open-source framework for fast-yet-accurate calculation of quantum mechanical features.
In Physical chemistry chemical physics : PCCP
Caldeweyher Eike, Bauer Christoph, Tehrani Ali Soltani
2022-Apr-21

Feature Selection by Hybrid Brain Storm Optimization Algorithm for COVID-19 Classification.
In Journal of computational biology : a journal of computational molecular cell biology
Bezdan Timea, Zivkovic Miodrag, Bacanin Nebojsa, Chhabra Amit, Suresh Muthusamy
2022-Apr-19
brain storm optimization algorithm, feature selection and classification, optimization, swarm intelligence

MS-ResNet: disease-specific survival prediction using longitudinal CT images and clinical data.
In International journal of computer assisted radiology and surgery
PURPOSE :
METHODS :
RESULTS :
CONCLUSION :
Han Jiahao, Xiao Ning, Yang Wanting, Luo Shichao, Zhao Jun, Qiang Yan, Chaudhary Suman, Zhao Juanjuan
2022-Apr-20
Attention mechanism, Clinical data, Deep learning, Disease-specific survival prediction, Longitudinal CT images

Deep Learning Approach for Assessing Air Quality During COVID-19 Lockdown in Quito.
In Frontiers in big data
Chau Phuong N, Zalakeviciute Rasa, Thomas Ilias, Rybarczyk Yves
2022
COVID-19, air pollution, data-driven modeling and optimization, deep learning - artificial neural network (DL-ANN), machine learning

Speech as a Biomarker for COVID-19 Detection Using Machine Learning.
In Computational intelligence and neuroscience
Usman Mohammed, Gunjan Vinit Kumar, Wajid Mohd, Zubair Mohammed, Siddiquee Kazy Noor-E-Alam
2022

The Evolution and Biology of SARS-CoV-2 Variants.
In Cold Spring Harbor perspectives in medicine
Telenti Amalio, Hodcroft Emma B, Robertson David L
2022-Apr-20

D3AI-CoV: a deep learning platform for predicting drug targets and for virtual screening against COVID-19.
In Briefings in bioinformatics
Yang Yanqing, Zhou Deshan, Zhang Xinben, Shi Yulong, Han Jiaxin, Zhou Liping, Wu Leyun, Ma Minfei, Li Jintian, Peng Shaoliang, Xu Zhijian, Zhu Weiliang
2022-Apr-21
COVID-19, D3AI-CoV, deep learning, target prediction, virtual screening
Satisfaction with the walking-related environment during COVID-19 in South Korea.
In PloS one ; h5-index 176.0
Jo Hoon, Lee Ho Hee, Kim Dong-Hyun, Kong In Deok
2022

When Do We Need Massive Computations to Perform Detailed COVID-19 Simulations?
In Advanced theory and simulations
Lutz Christopher B, Giabbanelli Philippe J
2022-Feb
COVID‐19, agent‐based models, machine learning, meta‐modeling, surrogate model

Machine learning model for predicting the length of stay in the intensive care unit for Covid-19 patients in the eastern province of Saudi Arabia.
In Informatics in medicine unlocked
Alabbad Dina A, Almuhaideb Abdullah M, Alsunaidi Shikah J, Alqudaihi Kawther S, Alamoudi Fatimah A, Alhobaishi Maha K, Alaqeel Naimah A, Alshahrani Mohammed S
2022-Apr-14
Coronavirus disease 2019 (COVID-19), Intensive care unit (ICU), Length of stay (LoS), Machine learning (ML), Predation, Resource management

Think positive: An interpretable neural network for image recognition.
In Neural networks : the official journal of the International Neural Network Society
Singh Gurmail
2022-Apr-04
COVID-19, CT-scan, Interpretable, Pneumonia, Prototypes

Development and Applications of Interoperable Biomedical Ontologies for Integrative Data and Knowledge Representation and Multiscale Modeling in Systems Medicine.
In Methods in molecular biology (Clifton, N.J.)
He Yongqun
2022
COVID-19, Interoperable ontology, Kidney, Precision medicine, eXtensible ontology development

Predicting binding affinities of emerging variants of SARS-CoV-2 using spike protein sequencing data: observations, caveats and recommendations.
In Briefings in bioinformatics
Zhang Ruibo, Ghosh Souparno, Pal Ranadip
2022-Apr-18
COVID-19, biological sequence analysis, machine learning, performance evaluation, protein–protein interaction, topological regression

Intermedia Agenda Setting amid the Pandemic: A Computational Analysis of China's Online News.
In Computational intelligence and neuroscience
Wang Hanxiao, Shi Jian
2022

Cross-border mobility responses to COVID-19 in Europe: new evidence from facebook data.
In Globalization and health
BACKGROUND :
RESULTS :
CONCLUSION :
Docquier Fredérić, Golenvaux Nicolas, Nijssen Siegfried, Schaus Pierre, Stips Felix
2022-Apr-18
Containment policies, Covid-19, Cross-border mobility, Non-Parmaceutical interventions

Autophagy and evasion of immune system by SARS-CoV-2. Structural features of the Non-structural protein 6 from Wild Type and Omicron viral strains interacting with a model lipid bilayer.
bioRxiv Preprint
Bignon, E.; Marazzi, M.; Grandemange, S.; Monari, A.
2022-04-20

Predicting the spread of COVID-19 with a machine learning technique and multiplicative calculus.
In Soft computing
Bilgehan Bülent, Özyapıcı Ali, Hammouch Zakia, Gurefe Yusuf
2022-Apr-09
COVID-19 model, Multiplicative data fitting, Multiplicative least square method, Simulation

Quantum OPTICS and deep self-learning on swarm intelligence algorithms for Covid-19 emergency transportation.
In Soft computing
Drias Habiba, Drias Yassine, Houacine Naila Aziza, Bendimerad Lydia Sonia, Zouache Djaafar, Khennak Ilyes
2022-Apr-08
Deep self learning AOA, Deep self learning EHO, Emergency transportation, Quantum machine learning, Quantum ordering points to identify the clustering structure

COVID-CXNet: Detecting COVID-19 in frontal chest X-ray images using deep learning.
In Multimedia tools and applications
Haghanifar Arman, Majdabadi Mahdiyar Molahasani, Choi Younhee, Deivalakshmi S, Ko Seokbum
2022-Apr-07
COVID-19, CheXNet, Chest X-ray, Convolutional neural networks, Imaging features

A novel multi-modal depression detection approach based on mobile crowd sensing and task-based mechanisms.
In Multimedia tools and applications
Thati Ravi Prasad, Dhadwal Abhishek Singh, Kumar Praveen, P Sainaba
2022-Apr-11
Depression detection, Emotion elicitation, Machine learning, Mobile crowd sensing, Multi-modal, Speech elicitation

Improving performance of deep learning predictive models for COVID-19 by incorporating environmental parameters.
In Gondwana research : international geoscience journal
Wathore Roshan, Rawlekar Samyak, Anjum Saima, Gupta Ankit, Bherwani Hemant, Labhasetwar Nitin, Kumar Rakesh
2022-Apr-08
COVID-19, Deep Learning, LSTM. Multivariate time series forecasting, SARS-CoV-2

An embedded toolset for human activity monitoring in critical environments.
In Expert systems with applications
Di Benedetto Marco, Carrara Fabio, Ciampi Luca, Falchi Fabrizio, Gennaro Claudio, Amato Giuseppe
2022-Aug-01
Computer vision, Counting, Deep learning, Embedded system, Homography, Machine learning, Personal protective equipment

MA-Net:Mutex attention network for COVID-19 diagnosis on CT images.
In Applied intelligence (Dordrecht, Netherlands)
Zheng BingBing, Zhu Yu, Shi Qin, Yang Dawei, Shao Yanmei, Xu Tao
2022-Apr-09
Attention, COVID-19, Computer-aided diagnosis, Deep learning, Mutex attention network

Why was this cited? Explainable machine learning applied to COVID-19 research literature.
In Scientometrics
Beranová Lucie, Joachimiak Marcin P, Kliegr Tomáš, Rabby Gollam, Sklenák Vilém
2022-Apr-09
Bibliometry, CORD-19: COVID-19 open research dataset, Citation prediction, Interpretability, Phylogenetic distance, SARS-CoV-2, Text analysis, Virus clades

When Is Partially Observable Reinforcement Learning Not Scary?
ArXiv Preprint
Qinghua Liu, Alan Chung, Csaba Szepesvári, Chi Jin
2022-04-19
Innate immune suppression by SARS-CoV-2 mRNA vaccinations: The role of G-quadruplexes, exosomes, and MicroRNAs.
In Food and chemical toxicology : an international journal published for the British Industrial Biological Research Association
Seneff Stephanie, Nigh Greg, Kyriakopoulos Anthony M, McCullough Peter A
2022-Apr-15
Cancer, Exosomes, G-quadruplexes, SARS-CoV-2 mRNA vaccines, Type I interferon Response, microRNAs

Cytomegalovirus Retinitis Screening Using Machine Learning Technology.
In Retina (Philadelphia, Pa.)
PROPOSE :
METHODS :
RESULTS :
CONCLUSIONS :
Srisuriyajan Pitchapa, Cheewaruangroj Nontawat, Polpinit Pattarawit, Laovirojjanakul Wipada
2022-Apr-11
The value of longitudinal clinical data and paired CT scans in predicting the deterioration of COVID-19 revealed by an artificial intelligence system.
In iScience
Han Xiaoyang, Yu Ziqi, Zhuo Yaoyao, Zhao Botao, Ren Yan, Lamm Lorenz, Xue Xiangyang, Feng Jianfeng, Marr Carsten, Shan Fei, Peng Tingying, Zhang Xiao-Yong
2022-Apr-08

DeepVaR: a framework for portfolio risk assessment leveraging probabilistic deep neural networks.
In Digital finance
** :
Supplementary Information :
Fatouros Georgios, Makridis Georgios, Kotios Dimitrios, Soldatos John, Filippakis Michael, Kyriazis Dimosthenis
2022-Apr-13
Finance, Forex, Probabilistic deep neural networks, Risk assessment, Time-series, VaR, VaR prediction

SEM-ANN-based approach to understanding students' academic-performance adoption of YouTube for learning during Covid.
In Heliyon
Elareshi Mokhtar, Habes Mohammed, Youssef Enaam, Salloum Said A, Alfaisal Raghad, Ziani Abdulkarim
2022-Apr
Covid-19, Higher education, Jordan, Social media, TAM, YouTube, eLearning

Symptom-based analysis of COVID-19 cases using supervised machine learning approaches to improve medical decision-making.
In Informatics in medicine unlocked
Ilbeigipou Sadegh, Albadvi Amir
2022-Apr-12
Association rules mining, COVID-19, Confidence index, Coronavirus, Machine learning, Support index
Regressive Class Modelling for Predicting Trajectories of COVID-19 Fatalities Using Statistical and Machine Learning Models.
In Bulletin of the Malaysian Mathematical Sciences Society
Chowdhury Rafiqul I, Hasan M Tariqul, Sneddon Gary
2022-Apr-13
Deep learning techniques, Joint modelling, Model accuracy, Repeated measures, SARS-CoV-2 virus

Unsupervised detection of ash dieback disease (Hymenoscyphus fraxineus) using diffusion-based hyperspectral image clustering
ArXiv Preprint
Sam L. Polk, Aland H. Y. Chan, Kangning Cui, Robert J. Plemmons, David A. Coomes, James M. Murphy
2022-04-19

Challenges of deep learning methods for COVID-19 detection using public datasets.
In Informatics in medicine unlocked
Hasan Md Kamrul, Alam Md Ashraful, Dahal Lavsen, Roy Shidhartho, Wahid Sifat Redwan, Elahi Md Toufick E, Martí Robert, Khanal Bishesh
2022-Apr-12
COVID-19 disease, Chest computed tomography and X-ray, Convolutional neural networks, Ensemble classifier

Cerner real-world data (CRWD) - A de-identified multicenter electronic health records database.
In Data in brief
Ehwerhemuepha Louis, Carlson Kimberly, Moog Ryan, Bondurant Ben, Akridge Cheryl, Moreno Tatiana, Gasperino Gary, Feaster William
2022-Jun
COVID-19, Cerner Real-World DataTM(CRWD), Cerner learning Health NetworkSM (LHN), Electronic Health Records (EHR), HealtheDataLab™, HealtheIntent, SARS-CoV-2
A convolutional neural network-based COVID-19 detection method using chest CT images.
In Annals of translational medicine
Background :
Methods :
Results :
Conclusions :
Cao Yi, Zhang Chen, Peng Cheng, Zhang Guangfeng, Sun Yi, Jiang Xiaoxue, Wang Zhan, Zhang Die, Wang Lifei, Liu Jikui
2022-Mar
Coronavirus disease 2019 (COVID-19), computed tomography (CT), convolutional neural network, transfer learning
A Retrospective and Multicenter Study on COVID-19 in Inner Mongolia: Evaluating the Influence of Sampling Locations on Nucleic Acid Test and the Dynamics of Clinical and Prognostic Indexes.
In Frontiers in medicine
Yu Lan, Wang Ailan, Li Tianbao, Jin Wen, Tian Geng, Yun Chunmei, Gao Fei, Fan Xiuzhen, Wang Huimin, Zhang Huajun, Sun Dejun
2022
COVID-19, clinical characteristics, feces testing, machine learning, prognosis model

MFDNN: multi-channel feature deep neural network algorithm to identify COVID19 chest X-ray images.
In Health information science and systems
Pan Liangrui, Ji Boya, Wang Hetian, Wang Lian, Liu Mingting, Chongcheawchamnan Mitchai, Peng Shaolaing
2022-Dec
COVID19, Chest X-ray, MFDNN, Multi-channel feature

Selective covalent targeting of SARS-CoV-2 main protease by enantiopure chlorofluoroacetamide.
In Chemical science
Yamane Daiki, Onitsuka Satsuki, Re Suyong, Isogai Hikaru, Hamada Rui, Hiramoto Tadanari, Kawanishi Eiji, Mizuguchi Kenji, Shindo Naoya, Ojida Akio
2022-Mar-09

IoT-Enabled Framework for Early Detection and Prediction of COVID-19 Suspects by Leveraging Machine Learning in Cloud.
In Journal of healthcare engineering
Mir Mahmood Hussain, Jamwal Sanjay, Mehbodniya Abolfazl, Garg Tanya, Iqbal Ummer, Samori Issah Abubakari
2022
Deep feature fusion classification network (DFFCNet): Towards accurate diagnosis of COVID-19 using chest X-rays images.
In Biomedical signal processing and control
Liu Jingyao, Sun Wanchun, Zhao Xuehua, Zhao Jiashi, Jiang Zhengang
2022-Jul
COVID-19, Classification, Deep learning, Feature fusion, SVM

IoMT-fog-cloud based architecture for Covid-19 detection.
In Biomedical signal processing and control
Limitations of available literature :
Method proposed by the author with technical information :
Advantages and application of proposed method :
Mohamed Akram Khelili, Sihem Slatnia, Okba Kazar, Harous Saad
2022-Jul
Cloud computing, Covid-19, Deep learning, Fog computing, Internet of Medical Things (IoMT), Quality of Service (QoS)

Gender Difference in Psychological, Cognitive, and Behavioral Patterns Among University Students During COVID-19: A Machine Learning Approach.
In Frontiers in psychology ; h5-index 92.0
Zhao Yijun, Ding Yi, Shen Yangqian, Liu Wei
2022
COVID-19, association rule mining, gender difference, mental health, university student
Abnormal global alternative RNA splicing in COVID-19 patients.
In PLoS genetics ; h5-index 96.0
Wang Changli, Chen Lijun, Chen Yaobin, Jia Wenwen, Cai Xunhui, Liu Yufeng, Ji Fenghu, Xiong Peng, Liang Anyi, Liu Ren, Guan Yuanlin, Cheng Zhongyi, Weng Yejing, Wang Weixin, Duan Yaqi, Kuang Dong, Xu Sanpeng, Cai Hanghang, Xia Qin, Yang Dehua, Wang Ming-Wei, Yang Xiangping, Zhang Jianjun, Cheng Chao, Liu Liang, Liu Zhongmin, Liang Ren, Wang Guopin, Li Zhendong, Xia Han, Xia Tian
2022-Apr-14
Using Artificial Intelligence to Improve the Diagnostic Efficiency of Pulmonologists in Differentiating COVID-19 Pneumonia from Community-Acquired Pneumonia.
In Journal of medical virology
İn Erdal, Altıntop Geçkil Ayşegül, Kavuran Gürkan, Şahin Mahmut, Berber Nurcan Kırıcı, Kuluöztürk Mutlu
2022-Apr-13
Artificial Intelligence (AI), Community-Acquired Pneumonia, Computed Tomography (CT), Coronavirus Disease 2019 (COVID-19), Deep Learning

Evaluating efficacy of indoor non-pharmaceutical interventions against COVID-19 outbreaks with a coupled spatial-SIR agent-based simulation framework.
In Scientific reports ; h5-index 158.0
Gunaratne Chathika, Reyes Rene, Hemberg Erik, O’Reilly Una-May
2022-Apr-13
Tracking discussions of complementary, alternative, and integrative medicine in the context of the COVID-19 pandemic: a month-by-month sentiment analysis of Twitter data.
In BMC complementary medicine and therapies
BACKGROUND :
METHODS :
RESULTS :
CONCLUSION :
Ng Jeremy Y, Abdelkader Wael, Lokker Cynthia
2022-Apr-13
COVID-19, Complementary and alternative medicine, Sentiment analysis, Social media, Twitter

COVID-19 breakthrough infections and hospitalizations among vaccinated patients with dementia in the United States between December 2020 and August 2021.
In Alzheimer's & dementia : the journal of the Alzheimer's Association
INTRODUCTION :
METHODS :
RESULTS :
DISCUSSION :
Wang Lindsey, Davis Pamela B, Kaelber David C, Xu Rong
2022-Apr-13
“Alzheimers Disease”, COVID-19, Lewy body dementia, breakthrough infections, dementia, frontotemporal dementia, mild cognitive impairment, patient electronic health records, vaccine, vascular dementia
Symptoms associated with a COVID-19 infection among a non-hospitalized cohort in Vienna.
In Wiener klinische Wochenschrift
BACKGROUND :
METHODS :
RESULTS :
CONCLUSION :
Munsch Nicolas, Gruarin Stefanie, Nateqi Jama, Lutz Thomas, Binder Michael, Aberle Judith H, Martin Alistair, Knapp Bernhard
2022-Apr-13
Chatbot, Machine learning, Self-reported, Symptom assessment, Symptom checker

Detection of COVID-19 from CT and Chest X-ray Images Using Deep Learning Models.
In Annals of biomedical engineering ; h5-index 52.0
Zouch Wassim, Sagga Dhouha, Echtioui Amira, Khemakhem Rafik, Ghorbel Mohamed, Mhiri Chokri, Hamida Ahmed Ben
2022-Apr-12
COVID-19, CT, Chest X-ray, Convolutional neural network, Deep learning

COVID-19 Open-Data a global-scale spatially granular meta-dataset for coronavirus disease.
In Scientific data
Wahltinez Oscar, Cheung Aurora, Alcantara Ruth, Cheung Donny, Daswani Mayank, Erlinger Anthony, Lee Matt, Yawalkar Pranali, Lê Paula, Navarro Ofir Picazo, Brenner Michael P, Murphy Kevin
2022-Apr-12

Acoustery System for Differential Diagnosing of Coronavirus COVID-19 Disease.
In IEEE open journal of engineering in medicine and biology
Mitrofanova Anastasia, Mikhaylov Dmitry, Shaznaev Ilman, Chumanskaia Vera, Saveliev Valeri
2021
Attention mechanism, COVID-19, convolutional neural network, preliminary diagnosis, recurrent neural network

A comprehensive survey on the biomedical signal processing methods for the detection of COVID-19.
In Annals of medicine and surgery (2012)
Anand Satyajit, Sharma Vikrant, Pourush Rajeev, Jaiswal Sandeep
2022-Apr
Artificial intelligence, Audio, COVID 19, Signal processing, Speech

Emerging early diagnostic methods for acute kidney injury.
In Theranostics
Xiao Zuoxiu, Huang Qiong, Yang Yuqi, Liu Min, Chen Qiaohui, Huang Jia, Xiang Yuting, Long Xingyu, Zhao Tianjiao, Wang Xiaoyuan, Zhu Xiaoyu, Tu Shiqi, Ai Kelong
2022
Acute kidney injury, Early diagnosis., Machine learning, Neutrophil gelatinase-associated lipocalin, Reactive oxygen species and nitrogen species, kidney injury molecule-1, miRNA-21, γ-glutamyl transpeptidase

Computational Intelligence-Based Model for Exploring Individual Perception on SARS-CoV-2 Vaccine in Saudi Arabia.
In Computational intelligence and neuroscience
Khan Irfan Ullah, Aslam Nida, Chrouf Sara, Atef Israa, Merah Ikram, AlMulhim Latifah, AlShuaifan Raghad
2022

Monitoring social-distance in wide areas during pandemics: a density map and segmentation approach.
In Applied intelligence (Dordrecht, Netherlands)
Gonzalez-Trejo Javier Antonio, Mercado-Ravell Diego A, Jaramillo-Avila Uziel
2022-Apr-05
COVID-19, Crowds monitoring, Deep learning, Density maps, Segmentation, Visual social distancing

Automated infrastructure: COVID-19 and the shifting geographies of supply chain capitalism.
In Progress in human geography
Lin Weiqiang
2022-Apr
COVID-19, automation, digital technologies, infrastructure, labour, logistics, supply chain capitalism

Expecting Individuals' Body Reaction to Covid-19 Based On Statistical Naïve Bayes Technique.
In Pattern recognition
Rabie Asmaa H, Mansour Nehal A, Saleh Ahmed I, Takieldeen Ali E
2022-Apr-06
Covid-19, Naïve Bayes, Prediction, Prudential Expectation

Real-time data of COVID-19 detection with IoT sensor tracking using artificial neural network.
In Computers & electrical engineering : an international journal
Mohammedqasem Roa’a, Mohammedqasim Hayder, Ata Oguz
2022-May
ANN, Artificial Neural Network, AUC, Area Under Curve, CNN, Convolutional Neural Network, COVID-19, COVID-19, Coronavirus disease, DL, Deep learning, Imbalanced Dataset, Internet of Things, IoT, Internet of Things, ML, Machine learning, RFE, Recursive Feature Elimination, RNN, Recurrent Neural Network, Recursive feature elimination, SMOTE, Synthetic Minority Oversampling Technique, Synthetic minority oversampling technique
COVID-19 personal health mention detection from tweets using dual convolutional neural network.
In Expert systems with applications
Luo Linkai, Wang Yue, Liu Hai
2022-Aug-15
CNN, Deep learning, Health monitoring, Social media, Text mining

The snoGloBe interaction predictor reveals a broad spectrum of C/D snoRNA RNA targets
bioRxiv Preprint
Deschamps-Francoeur, G.; Couture, S.; Abou Elela, S.; Scott, M. S.
2022-04-12
Reduced Chest Computed Tomography Scan Length for Patients Positive for Coronavirus Disease 2019: Dose Reduction and Impact on Diagnostic Utility.
In Journal of computer assisted tomography
METHODS :
RESULTS :
CONCLUSIONS :
Principi Sara, O’Connor Stacy, Frank Luba, Schmidt Taly Gilat
2022-Apr-08
Deep Learning-Based Automatic CT Quantification of Coronavirus Disease 2019 Pneumonia: An International Collaborative Study.
In Journal of computer assisted tomography
OBJECTIVE :
METHODS :
RESULTS :
CONCLUSIONS :
Yoo Seung-Jin, Qi Xiaolong, Inui Shohei, Kim Hyungjin, Jeong Yeon Joo, Lee Kyung Hee, Lee Young Kyung, Lee Bae Young, Kim Jin Yong, Jin Kwang Nam, Lim Jae-Kwang, Kim Yun-Hyeon, Kim Ki Beom, Jiang Zicheng, Shao Chuxiao, Lei Junqiang, Zou Shengqiang, Pan Hongqiu, Gu Ye, Zhang Guo, Goo Jin Mo, Yoon Soon Ho
2022-Apr-08

Cardiovascular signatures of COVID-19 predict mortality and identify barrier stabilizing therapies.
In EBioMedicine
BACKGROUND :
METHODS :
FINDINGS :
INTERPRETATION :
FUNDING INFORMATION :
Gustafson Dakota, Ngai Michelle, Wu Ruilin, Hou Huayun, Schoffel Alice Carvalhal, Erice Clara, Mandla Serena, Billia Filio, Wilson Michael D, Radisic Milica, Fan Eddy, Trahtemberg Uriel, Baker Andrew, McIntosh Chris, Fan Chun-Po S, Dos Santos Claudia C, Kain Kevin C, Hanneman Kate, Thavendiranathan Paaladinesh, Fish Jason E, Howe Kathryn L
2022-Apr-08
Biomarkers, COVID-19, Cardiovascular risk, Endothelium, Inflammation, MicroRNA

Bioacoustic signal analysis through complex network features.
In Computers in biology and medicine
Raj Vimal, Swapna M S, Sankararaman S
2022-Apr-05
Bioacoustic signal, Complex network, Graph theory, Lung auscultation

Exploring the Pareto front of multi-objective COVID-19 mitigation policies using reinforcement learning
ArXiv Preprint
Mathieu Reymond, Conor F. Hayes, Lander Willem, Roxana Rădulescu, Steven Abrams, Diederik M. Roijers, Enda Howley, Patrick Mannion, Niel Hens, Ann Nowé, Pieter Libin
2022-04-11

Tweet Emotion Dynamics: Emotion Word Usage in Tweets from US and Canada
ArXiv Preprint
Krishnapriya Vishnubhotla, Saif M. Mohammad
2022-04-11
Newly developed artificial intelligence algorithm for COVID-19 pneumonia: utility of quantitative CT texture analysis for prediction of favipiravir treatment effect.
In Japanese journal of radiology
PURPOSE :
MATERIALS AND METHODS :
RESULTS :
CONCLUSION :
Ohno Yoshiharu, Aoyagi Kota, Arakita Kazumasa, Doi Yohei, Kondo Masashi, Banno Sumi, Kasahara Kei, Ogawa Taku, Kato Hideaki, Hase Ryota, Kashizaki Fumihiro, Nishi Koichi, Kamio Tadashi, Mitamura Keiko, Ikeda Nobuhiro, Nakagawa Atsushi, Fujisawa Yasuko, Taniguchi Akira, Ikeda Hirotaka, Hattori Hidekazu, Murayama Kazuhiro, Toyama Hiroshi
2022-Apr-09
COVID-19, CT, Favipiravir, Machine learning
Explainable death toll motion modeling: COVID-19 data-driven narratives.
In PloS one ; h5-index 176.0
Veloso Adriano, Ziviani Nivio
2022

Breakthrough SARS-CoV-2 Infections, Hospitalizations, and Mortality in Vaccinated Patients With Cancer in the US Between December 2020 and November 2021.
In JAMA oncology ; h5-index 85.0
Importance :
Objectives :
Design, Setting, and Participants :
Exposures :
Main Outcomes and Measures :
Results :
Conclusions and Relevance :
Wang William, Kaelber David C, Xu Rong, Berger Nathan A
2022-Apr-08

A Hypothesis-Free Bridging of Disease Dynamics and Non-pharmaceutical Policies.
In Bulletin of mathematical biology
Wang Xiunan, Wang Hao, Ramazi Pouria, Nah Kyeongah, Lewis Mark
2022-Apr-08
COVID-19, Generalized boosting model, Hypothesis-free, Inverse method, Machine Learning, Non-pharmaceutical policies

Comparing protein-protein interaction networks of SARS-CoV-2 and (H1N1) influenza using topological features.
In Scientific reports ; h5-index 158.0
Khojasteh Hakimeh, Khanteymoori Alireza, Olyaee Mohammad Hossein
2022-Apr-07

Generalizability assessment of COVID-19 3D CT data for deep learning-based disease detection.
In Computers in biology and medicine
BACKGROUND :
METHOD :
RESULTS :
CONCLUSION :
Fallahpoor Maryam, Chakraborty Subrata, Heshejin Mohammad Tavakoli, Chegeni Hossein, Horry Michael James, Pradhan Biswajeet
2022-Apr-01
3D CT scan, 3D convolutional neural network, COVID-19, Deep learning, Generalizability, Lung involvement detection
Early prediction of SARS-CoV-2 reproductive number from environmental, atmospheric and mobility data: A supervised machine learning approach.
In International journal of medical informatics ; h5-index 49.0
INTRODUCTION :
MATERIAL AND METHODS :
RESULTS :
DISCUSSION :
Caruso Pier Francesco, Angelotti Giovanni, Greco Massimiliano, Guzzetta Giorgio, Cereda Danilo, Merler Stefano, Cecconi Maurizio
2022-Apr-01
COVID-19, Data science, Environmental data, Epidemiology, Machine learning, Mobility data, Rt prediction

Global User-Level Perception of COVID-19 Contact Tracing Applications: A Data-Driven Approach Using Natural Language Processing.
In JMIR formative research
BACKGROUND :
OBJECTIVE :
METHODS :
RESULTS :
CONCLUSIONS :
CLINICALTRIAL :
Ahmad Kashif, Alam Firoj, Qadir Junaid, Qolomany Basheer, Khan Imran, Khan Talhat, Suleman Muhammad, Said Naina, Hassan Syed Zohaib, Gul Asma, Househ Mowafa, Al-Fuqaha Ala
2022-Mar-16

Machine learning model from a Spanish cohort for prediction of SARS-COV-2 mortality risk and critical patients.
In Scientific reports ; h5-index 158.0
Reina Reina Alejandro, Barrera José M, Valdivieso Bernardo, Gas María-Eugenia, Maté Alejandro, Trujillo Juan C
2022-Apr-06

Severe COVID-19 is characterised by inflammation and immature myeloid cells early in disease progression.
In Heliyon
Townsend Liam, Dyer Adam H, Naughton Aifric, Imangaliyev Sultan, Dunne Jean, Kiersey Rachel, Holden Dean, Mooney Aoife, Leavy Deirdre, Ridge Katie, Sugrue Jamie, Aldoseri Mubarak, Kelliher Jo Hannah, Hennessy Martina, Byrne Declan, Browne Paul, Bacon Christopher L, Doyle Catriona, O’Riordan Ruth, McLaughlin Anne-Marie, Bannan Ciaran, Martin-Loeches Ignacio, White Arthur, McLoughlin Rachel M, Bergin Colm, Bourke Nollaig M, O’Farrelly Cliona, Conlon Niall, Cheallaigh Clíona Ní
2022-Apr
Biomarkers, COVID-19, Immune phenotype, Machine learning, Neutrophil maturity

Exploring the Lethality of Human-Adapted Coronavirus Through Alignment-Free Machine Learning Approaches Using Genomic Sequences.
In Current genomics
Background :
Methods :
Results :
Conclusion :
Yin Rui, Luo Zihan, Kwoh Chee Keong
2021-Dec-31
Coronavirus, SARS-CoV, alignment-free, genomic nucleotide, lethality inference, machine learning
FDG PET/CT radiomics as a tool to differentiate between reactive axillary lymphadenopathy following COVID-19 vaccination and metastatic breast cancer axillary lymphadenopathy: a pilot study.
In European radiology ; h5-index 62.0
OBJECTIVES :
MATERIALS AND METHODS :
RESULTS :
CONCLUSION :
KEY POINTS :
Eifer Michal, Pinian Hodaya, Klang Eyal, Alhoubani Yousef, Kanana Nayroz, Tau Noam, Davidson Tima, Konen Eli, Catalano Onofrio A, Eshet Yael, Domachevsky Liran
2022-Apr-06
Breast cancer, COVID-19 vaccine, Lymphadenopathy, Machine learning, PET-CT

The impact of AlphaFold on experimental structure solution
bioRxiv Preprint
Edich, M.; Briggs, D. C.; Kippes, O.; Gao, Y.; Thorn, A.
2022-04-08

Reappraising the Value of HIV-1 Vaccine Correlates of Protection Analyses.
In Journal of virology ; h5-index 77.0
Klasse P J, Moore John P
2022-Apr-06
COVID-19, HIV-1, SARS-CoV-2, SIV, clinical trials, correlates of protection, neutralizing antibodies, nonhuman primates, nonneutralizing antibodies, systems biology
Artificial Intelligence in Pharmacovigilance and Covid-19.
In Current drug safety
Bhardwaj Kamini, Alam Rabnoor, Pandeya Ajay, Sharma Pankaj Kumar
2022-Apr-05
Adversedrugreaction(ADR), Artificial intelligence(AI), NationalPharmacovigilance Program (NPP), Pharmacovigilance(PV), Spontaneous Reporting System (SRS), Uppsala Monitoring Centre (UMC), World health organization (WHO).

Assessment of COVID-19 risk and prevention effectiveness among spectators of mass gathering events.
In Microbial risk analysis
Yasutaka Tetsuo, Murakami Michio, Iwasaki Yuichi, Naito Wataru, Onishi Masaki, Fujita Tsukasa, Imoto Seiya
2022-Mar-31
COVID-19, infection risk, mass gatherings, novel corona virus, quantitative microbial risk assessment

Deep learning based fusion model for COVID-19 diagnosis and classification using computed tomography images.
In Concurrent engineering, research, and applications
Subhalakshmi R T, Balamurugan S Appavu Alias, Sasikala S
2022-Mar
COVID-19, Deep learning multimodal fusion, Gaussian Naïve Bayes, convolutional neural network, deeplearning, weiner filtering

Automatic COVID-19 detection mechanisms and approaches from medical images: a systematic review.
In Multimedia tools and applications
Rahmani Amir Masoud, Azhir Elham, Naserbakht Morteza, Mohammadi Mokhtar, Aldalwie Adil Hussein Mohammed, Majeed Mohammed Kamal, Taher Karim Sarkhel H, Hosseinzadeh Mehdi
2022-Mar-31
Artificial intelligence, COVID-19, Literature review, Machine learning, Medical image

Machine learning and semi-targeted lipidomics identify distinct serum lipid signatures in hospitalized COVID-19-positive and COVID-19-negative patients.
In Metabolism: clinical and experimental
BACKGROUND :
METHODS :
RESULTS :
CONCLUSION :
Castañé Helena, Iftimie Simona, Baiges-Gaya Gerard, Rodríguez-Tomàs Elisabet, Jiménez-Franco Andrea, López-Azcona Ana Felisa, Garrido Pedro, Castro Antoni, Camps Jordi, Joven Jorge
2022-Apr-02
Artificial intelligence, COVID-19, Lipid metabolism, Lipidomics, Machine learning

Model-based cost-effectiveness analysis of oral antivirals against SARS-CoV-2 in Korea.
In Epidemiology and health
Objectives :
Methods :
Results :
Conclusion :
Jo Youngji, Kim Sun Bean, Radnaabaatar Munkhzul, Huh Kyungmin, Yoo Jin-Hong, Peck Kyong Ran, Park Hojun, Jung Jaehun
2022-Mar-12
COVID-19, Cost-effectiveness analysis, Hospital admissions, Oral antivirals, SARS-CoV-2

Pre-processing methods in chest X-ray image classification.
In PloS one ; h5-index 176.0
BACKGROUND :
METHODS :
RESULTS :
CONCLUSION :
Giełczyk Agata, Marciniak Anna, Tarczewska Martyna, Lutowski Zbigniew
2022

Detection of SARS-CoV-2 infection by microRNA profiling of the upper respiratory tract.
In PloS one ; h5-index 176.0
Farr Ryan J, Rootes Christina L, Stenos John, Foo Chwan Hong, Cowled Christopher, Stewart Cameron R
2022

Tracking and predicting COVID-19 radiological trajectory on chest X-rays using deep learning.
In Scientific reports ; h5-index 158.0
Gourdeau Daniel, Potvin Olivier, Archambault Patrick, Chartrand-Lefebvre Carl, Dieumegarde Louis, Forghani Reza, Gagné Christian, Hains Alexandre, Hornstein David, Le Huy, Lemieux Simon, Lévesque Marie-Hélène, Martin Diego, Rosenbloom Lorne, Tang An, Vecchio Fabrizio, Yang Issac, Duchesne Nathalie, Duchesne Simon
2022-Apr-04
The effectiveness of governmental nonpharmaceutical interventions against COVID-19 at controlling seasonal influenza transmission: an ecological study.
In BMC infectious diseases ; h5-index 58.0
BACKGROUND :
METHODS :
RESULTS :
CONCLUSIONS :
Qiu Zekai, Cao Zicheng, Zou Min, Tang Kang, Zhang Chi, Tang Jing, Zeng Jinfeng, Wang Yaqi, Sun Qianru, Wang Daoze, Du Xiangjun
2022-Apr-04
Global, Influenza, Machine learning, Nonpharmaceutical interventions

Low-Dose COVID-19 CT Image Denoising Using CNN and its Method Noise Thresholding.
In Current medical imaging
** :
BACKGROUND :
OBJECTIVE :
METHOD :
RESULTS :
CONCLUSIONS :
Diwakar Manoj, Pandey Neeraj Kumar, Singh Ravinder, Sisodia Dilip, Arya Chandrakala, Singh Prabhishek, Chakraborty Chinmay
2022-Apr-04
CNN, COVID-19, CT Images, DWT, Image processing, deep learning

X-ray image based COVID-19 detection using evolutionary deep learning approach.
In Expert systems with applications
Jalali Seyed Mohammad Jafar, Ahmadian Milad, Ahmadian Sajad, Hedjam Rachid, Khosravi Abbas, Nahavandi Saeid
2022-Mar-30
COVID-19, Convolutional neural network, Coronavirus, Deep neuroevolution learning, Image classification, K-nearest neighbour classifier

The Impact of US County-Level Factors on COVID-19 Morbidity and Mortality.
In Journal of urban health : bulletin of the New York Academy of Medicine
Itzhak Nevo, Shahar Tomer, Moskovich Robert, Shahar Yuval
2022-Apr-04
Coronavirus, Disparities, Ethnicity, Socio-economic, Temporal distribution, Urbanity, Vulnerability

LIGHTHOUSE illuminates therapeutics for a variety of diseases including COVID-19
bioRxiv Preprint
Shimizu, H.; Kodama, M.; Matsumoto, M.; Orba, Y.; Sasaki, M.; Sato, A.; Sawa, H.; Nakayama, K. I.
2022-04-06

Vaxi-DL: A web-based deep learning server to identify potential vaccine candidates.
In Computers in biology and medicine
Rawal Kamal, Sinha Robin, Nath Swarsat Kaushik, Preeti P, Kumari Priya, Gupta Srijanee, Sharma Trapti, Strych Ulrich, Hotez Peter, Bottazzi Maria Elena
2022-Mar-22
Antigen prediction, Artificial intelligence, COVID-19, Coronavirus, Deep learning, In silico vaccine development, Machine learning, SARS-CoV-2, Vaccine, Vaccine design, Vaxi-DL server, mRNA vaccines

Lung Disease Classification in CXR Images Using Hybrid Inception-ResNet-v2 Model and Edge Computing.
In Journal of healthcare engineering
Sharma Chandra Mani, Goyal Lakshay, Chariar Vijayaraghavan M, Sharma Navel
2022
Machine Learning with Quantum Seagull Optimization Model for COVID-19 Chest X-Ray Image Classification.
In Journal of healthcare engineering
Ragab Mahmoud, Alshehri Samah, Alhakamy Nabil A, Alsaggaf Wafaa, Alhadrami Hani A, Alyami Jaber
2022

Efficient COVID-19 CT Scan Image Segmentation by Automatic Clustering Algorithm.
In Journal of healthcare engineering
Shivahare Basu Dev, Gupta S K
2022

COVID-19 Risk Prediction for Diabetic Patients Using Fuzzy Inference System and Machine Learning Approaches.
In Journal of healthcare engineering
Aggarwal Alok, Chakradar Madam, Bhatia Manpreet Singh, Kumar Manoj, Stephan Thompson, Gupta Sachin Kumar, Alsamhi S H, Al-Dois Hatem
2022

Dynamic QoS/QoE-aware reliable service composition framework for edge intelligence.
In Cluster computing
Hayyolalam Vahideh, Otoum Safa, Özkasap Öznur
2022-Mar-26
Artificial intelligence, COVID 19, Connected healthcare, Fault prevention, IoT, Meta-heuristics

Integrating bio medical sensors in detecting hidden signatures of COVID-19 with Artificial intelligence.
In Measurement : journal of the International Measurement Confederation
Hemamalini V, Anand L, Nachiyappan S, Geeitha S, Ramana Motupalli Venkata, Kumar R, Ahilan A, Rajesh M
2022-May-15
Artificial intelligence, Biomarkers, Biomedical sensors, COVID-19, Hidden signatures, Medical instruments, Quantifiable Measures

Classification of COVID-19 from chest x-ray images using deep features and correlation coefficient.
In Multimedia tools and applications
Kumar Rahul, Arora Ridhi, Bansal Vipul, Sahayasheela Vinodh J, Buckchash Himanshu, Imran Javed, Narayanan Narayanan, Pandian Ganesh N, Raman Balasubramanian
2022-Mar-28
COVID-19, Deep learning, Feature extraction, Feature selection, Machine learning, Pearson correlation coefficient, X-ray images

Ridge count thresholding to uncover coordinated networks during onset of the Covid-19 pandemic.
In Social network analysis and mining
Kirn Spencer Lee, Hinders Mark K
2022
Covid-19, Information operations, Machine learning, Network analysis, Topic modeling, Twitter

Ethnicity-Specific Features of COVID-19 Among Arabs, Africans, South Asians, East Asians, and Caucasians in the United Arab Emirates.
In Frontiers in cellular and infection microbiology ; h5-index 53.0
Background :
Objective :
Methods :
Results :
Conclusion :
Al Zahmi Fatmah, Habuza Tetiana, Awawdeh Rasha, Elshekhali Hossam, Lee Martin, Salamin Nassim, Sajid Ruhina, Kiran Dhanya, Nihalani Sanjay, Smetanina Darya, Talako Tatsiana, Neidl-Van Gorkom Klaus, Zaki Nazar, Loney Tom, Statsenko Yauhen
2021
COVID-19, Gulf region, Middle East, UAE, ethnicity, host organism, machine learning, viral pneumonia

Short- and Long-Term Recovery after Moderate/Severe AKI in Patients with and without COVID-19.
In Kidney360
Background :
Methods :
Results :
Conclusions :
Sun Siao, Annadi Raji R, Chaudhri Imran, Munir Kiran, Hajagos Janos, Saltz Joel, Hoai Minh, Mallipattu Sandeep K, Moffitt Richard, Koraishy Farrukh M
2022-Feb-24
AKI, AKI and ICU nephrology, CKD, COVID-19, Machine Learning, mortality, recovery

Psychotropic Medication Use Is Associated With Greater 1-Year Incidence of Dementia After COVID-19 Hospitalization.
In Frontiers in medicine
Background :
Methods :
Results :
Conclusion :
Freudenberg-Hua Yun, Makhnevich Alexander, Li Wentian, Liu Yan, Qiu Michael, Marziliano Allison, Carney Maria, Greenwald Blaine, Kane John M, Diefenbach Michael, Burns Edith, Koppel Jeremy, Sinvani Liron
2022
COVID-19, cognitive impairment, dementia, geriatric, post-COVID, psychotropic medication
Socio-Demographic Factors Associated With COVID-19 Vaccine Hesitancy Among Middle-Aged Adults During the Quebec's Vaccination Campaign.
In Frontiers in public health
Introduction :
Materials and Methods :
Results :
Discussion :
Jantzen Rodolphe, Maltais Mathieu, Broët Philippe
2022
CARTaGENE, COVID-19, Quebec vaccination campaign, population-based cohort, tree-based model, vaccine hesitancy

A Novel Threshold-Based Segmentation Method for Quantification of COVID-19 Lung Abnormalities.
In Signal, image and video processing
Khan Azrin, Garner Rachael, Rocca Marianna La, Salehi Sana, Duncan Dominique
2022-Mar-28

Design of Online Music Education System Based on Artificial Intelligence and Multiuser Detection Algorithm.
In Computational intelligence and neuroscience
Yan Hua
2022

CT-based severity assessment for COVID-19 using weakly supervised non-local CNN.
In Applied soft computing
Karthik R, Menaka R, Hariharan M, Won Daehan
2022-May
3D CNN, COVID-19 severity, Deep learning, Non-local attention, Squeeze

Digital twin framework for reconfigurable manufacturing systems (RMSs): design and simulation.
In The International journal, advanced manufacturing technology
Kombaya Touckia Jesus, Hamani Nadia, Kermad Lyes
2022-Mar-30
Digital twin (DT), Generic model, Modular framework, Reconfigurable manufacturing system (RMS), SysML

[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
2021-Nov-09
Artificial intelligence, COVID-19, Chest X-Ray, Mortality, Predictive models, Prognosis

COVID-WideNet-A capsule network for COVID-19 detection.
In Applied soft computing
Gupta P K, Siddiqui Mohammad Khubeb, Huang Xiaodi, Morales-Menendez Ruben, Pawar Harsh, Terashima-Marin Hugo, Wajid Mohammad Saif
2022-Mar-29
CNN, COVID-19, COVID-19: Virus variants, Capsule Networks, Deep learning, RT-PCR, X-Rays

Automated System for Identifying COVID-19 Infections in Computed Tomography Images Using Deep Learning Models.
In Journal of healthcare engineering
Abdulkareem Karrar Hameed, Mostafa Salama A, Al-Qudsy Zainab N, Mohammed Mazin Abed, Al-Waisy Alaa S, Kadry Seifedine, Lee Jinseok, Nam Yunyoung
2022

Genomic Surveillance of COVID-19 Variants with Language Models and Machine Learning
bioRxiv Preprint
Nagpal, S.; Pal, R.; Ashima, ; Tyagi, A.; Tripathi, S.; Nagori, A.; Ahmad, S.; Mishra, H. P.; Kutum, R.; Sethi, T.
2022-04-04

A privacy-aware method for COVID-19 detection in chest CT images using lightweight deep conventional neural network and blockchain.
In Computers in biology and medicine
Heidari Arash, Toumaj Shiva, Navimipour Nima Jafari, Unal Mehmet
2022-Mar-28
Blockchain, CNN, COVID-19, Chest CT, Deep learning, Transfer learning
Ecology of middle east respiratory syndrome coronavirus, 2012-2020: A machine learning modeling analysis.
In Transboundary and emerging diseases ; h5-index 40.0
Zhang An-Ran, Li Xin-Lou, Wang Tao, Liu Kun, Liu Ming-Jin, Zhang Wen-Hui, Zhao Guo-Ping, Chen Jin-Jin, Zhang Xiao-Ai, Miao Dong, Ma Wei, Fang Li-Qun, Yang Yang, Liu Wei
2022-Apr-02
MERS-CoV, Middle East respiratory syndrome, machine learning, predicted map, risk factors

Critically Ill COVID-19 Patients Exhibit Anti-SARS-CoV-2 Serological Responses.
In Pathophysiology : the official journal of the International Society for Pathophysiology
Fraser Douglas D, Cepinskas Gediminas, Slessarev Marat, Martin Claudio M, Daley Mark, Patel Maitray A, Miller Michael R, Patterson Eric K, O’Gorman David B, Gill Sean E, Higgins Ian, John Julius P P, Melo Christopher, Nini Lylia, Wang Xiaoqin, Zeidler Johannes, Cruz-Aguado Jorge A
2021-May-17
COVID-19, humoral response, immunoglobulins, intensive care unit, outcome, serology
A dataset of non-pharmaceutical interventions on SARS-CoV-2 in Europe.
In Scientific data
Altman George, Ahuja Janvi, Monrad Joshua Teperowski, Dhaliwal Gurpreet, Rogers-Smith Charlie, Leech Gavin, Snodin Benedict, Sandbrink Jonas B, Finnveden Lukas, Norman Alexander John, Oehm Sebastian B, Sandkühler Julia Fabienne, Kulveit Jan, Flaxman Seth, Gal Yarin, Mishra Swapnil, Bhatt Samir, Sharma Mrinank, Mindermann Sören, Brauner Jan Markus
2022-Apr-01
Study protocol: a survey exploring patients' and healthcare professionals' expectations, attitudes and ethical acceptability regarding the integration of socially assistive humanoid robots in nursing.
In BMJ open
INTRODUCTION :
METHODS/DESIGN :
ETHICS AND DISSEMINATION :
ETHICAL APPROVAL DATE :
ESTIMATED START OF THE STUDY :
Mlakar Izidor, Kampič Tadej, Flis Vojko, Kobilica Nina, Molan Maja, Smrke Urška, Plohl Nejc, Bergauer Andrej
2022-Apr-01
Organisation of health services, PUBLIC HEALTH, QUALITATIVE RESEARCH, Quality in health care
Facilitating standardized COVID-19 suspicion prediction based on computed tomography radiomics in a multi-demographic setting.
In European radiology ; h5-index 62.0
OBJECTIVE :
METHODS :
RESULTS :
CONCLUSION :
KEYPOINTS :
Nagaraj Yeshaswini, de Jonge Gonda, Andreychenko Anna, Presti Gabriele, Fink Matthias A, Pavlov Nikolay, Quattrocchi Carlo C, Morozov Sergey, Veldhuis Raymond, Oudkerk Matthijs, van Ooijen Peter M A
2022-Apr-01
COVID-19, Deep learning, Diagnostic imaging, SARS-CoV-2, Tomography X-ray computed
Who Is at Risk of Poor Mental Health Following Coronavirus Disease-19 Outpatient Management?
In Frontiers in medicine
Background :
Methods :
Results :
Conclusion :
Clinical Trial Registration :
Hüfner Katharina, Tymoszuk Piotr, Ausserhofer Dietmar, Sahanic Sabina, Pizzini Alex, Rass Verena, Galffy Matyas, Böhm Anna, Kurz Katharina, Sonnweber Thomas, Tancevski Ivan, Kiechl Stefan, Huber Andreas, Plagg Barbara, Wiedermann Christian J, Bellmann-Weiler Rosa, Bachler Herbert, Weiss Günter, Piccoliori Giuliano, Helbok Raimund, Loeffler-Ragg Judith, Sperner-Unterweger Barbara
2022
COVID-19, SARS-CoV-2, anxiety, depression, long COVID, machine learning, mental stress, neurocognitive

Applications of Artificial Intelligence in Myopia: Current and Future Directions.
In Frontiers in medicine
Zhang Chenchen, Zhao Jing, Zhu Zhe, Li Yanxia, Li Ke, Wang Yuanping, Zheng Yajuan
2022
artificial intelligence, deep learning, machine learning, myopia, telemedicine

Deep-Precognitive Diagnosis: Preventing Future Pandemics by Novel Disease Detection With Biologically-Inspired Conv-Fuzzy Network.
In IEEE access : practical innovations, open solutions
Chharia Aviral, Upadhyay Rahul, Kumar Vinay, Cheng Chao, Zhang Jing, Wang Tianyang, Xu Min
2022
COVID-19, Deep learning, computer-aided diagnosis, medical imaging, pandemics
COVID-Net CT-2: Enhanced Deep Neural Networks for Detection of COVID-19 From Chest CT Images Through Bigger, More Diverse Learning.
In Frontiers in medicine
Gunraj Hayden, Sabri Ali, Koff David, Wong Alexander
2021
COVID-19, SARS-CoV-2, computed tomography, deep learning, image classification, pneumonia, radiology
Can anti-parasitic drugs help control COVID-19?
In Future virology
Panahi Yasin, Dadkhah Masoomeh, Talei Sahand, Gharari Zahra, Asghariazar Vahid, Abdolmaleki Arash, Matin Somayeh, Molaei Soheila
2022-Mar
COVID-19, SARS-CoV-2, anti-parasitic drugs, artificial intelligence, drug repositioning, epidemic, pandemic

Exploring New Characteristics: Using Deep Learning and 3D Reconstruction to Compare the Original COVID-19 and Its Delta Variant Based on Chest CT.
In Frontiers in molecular biosciences
Bai Na, Lin Ruikai, Wang Zhiwei, Cai Shengyan, Huang Jianliang, Su Zhongrui, Yao Yuanzhen, Wen Fang, Li Han, Huang Yuxin, Zhao Yi, Xia Tao, Lei Mingsheng, Yang Weizhen, Qiu Zhaowen
2022
Delta Variant, Original COVID-19, chest CT, deep learning, quantitative analysis, stereoscopic segmentation, three-dimensional reconstruction

A COVID-19 forecasting system for hospital needs using ANFIS and LSTM models: A graphical user interface unit.
In Digital health
Background :
Methods :
Results :
Conclusion :
Shafiekhani Sajad, Namdar Peyman, Rafiei Sima
Coronavirus disease 2019 (COVID-19), adaptive neuro-fuzzy inference system (ANFIS), demand forecasting, hospitalization, intensive care unit (ICU), long short-term memory (LSTM) network

RNA editing increases the nucleotide diversity of SARS-CoV-2 in human host cells.
In PLoS genetics ; h5-index 96.0
Peng Xinxin, Luo Yikai, Li Hongyue, Guo Xuejiao, Chen Hu, Ji Xuwo, Liang Han
2022-Mar-30

A robust and parsimonious machine learning method to predict ICU admission of COVID-19 patients.
In Medical & biological engineering & computing ; h5-index 32.0
Famiglini Lorenzo, Campagner Andrea, Carobene Anna, Cabitza Federico
2022-Mar-30
COVID-19, Complete blood count, Machine learning, Prognostic models, eXplainable AI

Effectiveness evaluation of different feature extraction methods for classification of covid-19 from computed tomography images: A high accuracy classification study.
In Biomedical signal processing and control
Al-Areqi Farid, Konyar Mehmet Zeki
2022-Jul
CT images, Covid-19, Diagnosis, Features, Machine learning

[Feasibility of using artificial intelligence for screening COVID-19 patients in ParaguayViabilidade do uso de inteligência artificial na triagem de pacientes com COVID-19 no Paraguai].
In Revista panamericana de salud publica = Pan American journal of public health
Objective :
Methods :
Results :
Conclusions :
Galván Pedro, Fusillo José, González Felipe, Vukujevic Oraldo, Recalde Luciano, Rivas Ronald, Ortellado José, Portillo Juan, Borba Julio, Hilario Enrique
2022
COVID-19, Paraguay, Screening, artificial intelligence, digital technology, telediagnostics, telemedicine

Autoantibody discovery across monogenic, acquired, and COVID19-associated autoimmunity with scalable PhIP-Seq.
In bioRxiv : the preprint server for biology
Vazquez Sara E, Mann Sabrina A, Bodansky Aaron, Kung Andrew F, Quandt Zoe, Ferré Elise M N, Landegren Nils, Eriksson Daniel, Bastard Paul, Zhang Shen-Ying, Liu Jamin, Mitchell Anthea, Mandel-Brehm Caleigh, Miao Brenda, Sowa Gavin, Zorn Kelsey, Chan Alice Y, Shimizu Chisato, Tremoulet Adriana, Lynch Kara, Wilson Michael R, Kampe Olle, Dobbs Kerry, Delmonte Ottavia M, Notarangelo Luigi D, Burns Jane C, Casanova Jean-Laurent, Lionakis Michail S, Torgerson Troy R, Anderson Mark S, DeRisi Joseph L
2022-Mar-24
Public Health Informatics: Proposing Causal Sequence of Death Using Neural Machine Translation.
In IEEE journal of biomedical and health informatics
Zhu Yuanda, Sha Ying, Wu Hang, Li Mai, Hoffman Ryan, Wang May Dongmei
2022-Mar-29

Domain Shifts in Machine Learning Based Covid-19 Diagnosis From Blood Tests.
In Journal of medical systems ; h5-index 48.0
Roland Theresa, Böck Carl, Tschoellitsch Thomas, Maletzky Alexander, Hochreiter Sepp, Meier Jens, Klambauer Günter
2022-Mar-29
Blood test, COVID-19, Domain shift, Machine learning

Prognosis patients with COVID-19 using deep learning.
In BMC medical informatics and decision making ; h5-index 38.0
BACKGROUND :
METHODS :
RESULTS :
CONCLUSION :
Guadiana-Alvarez José Luis, Hussain Fida, Morales-Menendez Ruben, Rojas-Flores Etna, García-Zendejas Arturo, Escobar Carlos A, Ramírez-Mendoza Ricardo A, Wang Jianhong
2022-Mar-26
COVID-19, Coronavirus, Deep learning, Mortality risk prediction, Prognosis, Random forest

Comparison and ensemble of 2D and 3D approaches for COVID-19 detection in CT images.
In Neurocomputing
Ali Ahmed Sara Atito, Yavuz Mehmet Can, Şen Mehmet Umut, Gülşen Fatih, Tutar Onur, Korkmazer Bora, Samancı Cesur, Şirolu Sabri, Hamid Rauf, Eryürekli Ali Ergun, Mammadov Toghrul, Yanikoglu Berrin
2022-Jun-01
COVID-19, Computed Tomography, Deep Learning, Detection, Ensemble

Towards applying Internet of Things and Machine Learning for the Risk Prediction of COVID-19 in pandemic situation using Naive Bayes Classifier for improving Accuracy.
In Materials today. Proceedings
Deepa N, Sathya Priya J, Devi T
2022-Mar-24
Accuracy, COVID-19, Naive Bayes Classifier, Prediction, Random Forest

An Improved Lightweight YOLOv5 Model Based on Attention Mechanism for Face Mask Detection
ArXiv Preprint
Sheng Xu
2022-03-30
Trends and hot topics in radiology, nuclear medicine and medical imaging from 2011-2021: a bibliometric analysis of highly cited papers.
In Japanese journal of radiology
PURPOSE :
MATERIALS AND METHODS :
RESULTS :
CONCLUSION :
Yan Sheng, Zhang Huiting, Wang Jun
2022-Mar-28
Bibliometric analysis, Highly cited papers, Medical imaging, Nuclear medicine, Radiology

Transfer learning with fine-tuned deep CNN ResNet50 model for classifying COVID-19 from chest X-ray images.
In Informatics in medicine unlocked
Hossain Md Belal, Iqbal S M Hasan Sazzad, Islam Md Monirul, Akhtar Md Nasim, Sarker Iqbal H
2022
COVID-19, Deep learning, ResNet50, Transfer learning

Evaporation of liquid nanofilms: A minireview.
In Physics of fluids (Woodbury, N.Y. : 1994)
Zhang Kaixuan, Fang Wei, Lv Cunjing, Feng Xi-Qiao
2022-Feb

Delineating privacy aspects of COVID tracing applications embedded with proximity measurement technologies & digital technologies.
In Technology in society
Saheb Tahereh, Sabour Elham, Qanbary Fatimah, Saheb Tayebeh
2022-May
Covid, Ethics, Privacy, Proximity measurement, Surveillance, Tracing apps

A deep learning-based framework for detecting COVID-19 patients using chest X-rays.
In Multimedia systems
Asif Sohaib, Zhao Ming, Tang Fengxiao, Zhu Yusen
2022-Mar-22
COVID-19 detection , Chest X-ray, Convolutional neural network (CNN), Deep learning, Transfer learning

A machine learning approach for identification of gastrointestinal predictors for the risk of COVID-19 related hospitalization.
In PeerJ
Background and aim :
Methods :
Results :
Conclusion :
Lipták Peter, Banovcin Peter, Rosoľanka Róbert, Prokopič Michal, Kocan Ivan, Žiačiková Ivana, Uhrik Peter, Grendar Marian, Hyrdel Rudolf
2022
Artificial intelligence, COVID-19, Hospitalization, Liver, Machine learning, Predictors, Random forest, SARS-CoV-2, Symptoms

An adaptive feature extraction method for classification of Covid-19 X-ray images.
In Signal, image and video processing