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Real-time face mask position recognition system based on MobileNet model.
In Smart health (Amsterdam, Netherlands)
Rahman Md Hafizur, Jannat Mir Kanon Ara, Islam Md Shafiqul, Grossi Giuliano, Bursic Sathya, Aktaruzzaman Md
2023-Jan-31
COVID-19, Dataset, Face-mask position recognition, MobileNet, Real-time, Transfer learning

Machine learning models for predicting severe COVID-19 outcomes in hospitals.
In Informatics in medicine unlocked
Wendland Philipp, Schmitt Vanessa, Zimmermann Jörg, Häger Lukas, Göpel Siri, Schenkel-Häger Christof, Kschischo Maik
2023
Clinical decision support, Covid-19, Machine learning, Predictive modelling

Omnidirectional 2.5D representation for COVID-19 diagnosis using chest CTs.
In Journal of visual communication and image representation
da Silveira Thiago L T, Pinto Paulo G L, Lermen Thiago S, Jung Cláudio R
2023-Mar
2.5D representation, COVID-19 diagnosis, Ground-glass opacity, Omnidirectional imaging

A Comparative Analysis of Multidimensional COVID-19 Poverty Determinants: An Observational Machine Learning Approach.
In New generation computing
Satapathy Sandeep Kumar, Saravanan Shreyaa, Mishra Shruti, Mohanty Sachi Nandan
2023-Feb-01
Feature selection, Machine learning, Multidimensional, Poverty, Prediction, Regression

Transfer learning for the efficient detection of COVID-19 from smartphone audio data.
In Pervasive and mobile computing
Campana Mattia Giovanni, Delmastro Franca, Pagani Elena
2023-Feb
COVID-19, Deep audio embeddings, Deep learning, Transfer learning, m-health

A novel approach for detection of COVID-19 and Pneumonia using only binary classification from chest CT-scans.
In Neuroscience informatics
Hasija Sanskar, Akash Peddaputha, Bhargav Hemanth Maganti, Kumar Ankit, Sharma Sanjeev
2022-Dec
CNN, COVID-19, Chest CT scan, Classification metrics, Multiclass classification, Two binary classifications

Configurational patterns for COVID-19 related social media rumor refutation effectiveness enhancement based on machine learning and fsQCA.
In Information processing & management
Li Zongmin, Zhao Ye, Duan Tie, Dai Jingqi
2023-May
COVID-19, Fuzzy-set qualitative comparative analysis (FsQCA), Infodemic, LGBM regression model, Rumor refutation effectiveness

Modeling the artificial intelligence-based imperatives of industry 5.0 towards resilient supply chains: A post-COVID-19 pandemic perspective.
In Computers & industrial engineering
Ahmed Tazim, Lekha Karmaker Chitra, Benta Nasir Sumaiya, Abdul Moktadir Md, Kumar Paul Sanjoy
2023-Jan-31
Bayesian Best-Worst Method, Industry 5.0, Post-COVID-19 pandemic, artificial intelligence, supply chain resilience

AI-accelerated protein-ligand docking for SARS-CoV-2 is 100-fold faster with no significant change in detection.
In Scientific reports ; h5-index 158.0
Clyde Austin, Liu Xuefeng, Brettin Thomas, Yoo Hyunseung, Partin Alexander, Babuji Yadu, Blaiszik Ben, Mohd-Yusof Jamaludin, Merzky Andre, Turilli Matteo, Jha Shantenu, Ramanathan Arvind, Stevens Rick
2023-Feb-06

Evolution of Clinical Phenotypes of COVID-19 Patients During Intensive Care Treatment: An Unsupervised Machine Learning Analysis.
In Journal of intensive care medicine ; h5-index 29.0
BACKGROUND :
METHODS :
RESULTS :
CONCLUSIONS :
Siepel Sander, Dam Tariq A, Fleuren Lucas M, Girbes Armand R J, Hoogendoorn Mark, Thoral Patrick J, Elbers Paul W G, Bennis Frank C
2023-Feb-06
clinical phenotype half-life, clinical phenotypes, clustering, coronavirus disease 2019, endotypes, intensive care, subphenotypes

A new YOLO-based method for real-time crowd detection from video and performance analysis of YOLO models.
In Journal of real-time image processing
Gündüz Mehmet Şirin, Işık Gültekin
2023
Area estimation, Deep learning, People counting, Person detection, Real-time video processing, YOLO

[Performance in prognostic capacity and efficiency of the Thoracic Care Suite GE AI tool applied to chest radiography of patients with COVID-19 pneumonia].
In Radiologia
OBJECTIVE :
METHODS :
RESULTS :
CONCLUSIONS :
Plasencia-Martínez Juana María, Pérez-Costa Rafael, Ballesta-Ruiz Mónica, María García-Santos José
2023-Jan-31
AI (Artificial Intelligence), Biomedical Technology, COVID 19, Coronavirus, Prognoses, Radiography
Effect of daily new cases of COVID-19 on public sentiment and concern: Deep learning-based sentiment classification and semantic network analysis.
In Zeitschrift fur Gesundheitswissenschaften = Journal of public health
AIM :
SUBJECT AND METHODS :
RESULTS :
CONCLUSION :
Che ShaoPeng, Wang Xiaoke, Zhang Shunan, Kim Jang Hyun
2023-Jan-31
COVID-19, Crisis and Emergency Risk Communication, Daily new cases, Deep learning, Public health agency, Semantic network analysis
Whale Optimization with Random Contraction and Rosenbrock Method for COVID-19 disease prediction.
In Biomedical signal processing and control
Zhang Meilin, Wu Qianxi, Chen Huiling, Asghar Heidari Ali, Cai Zhennao, Li Jiaren, Md Abdelrahim Elsaid, Mansour Romany F
2023-Feb-01
COVID-19, Feature selection, Random contraction strategy, Rosenbrock method, Swarm intelligence, Whale optimization algorithm

Prediction and comparison of psychological health during COVID-19 among Indian population and Rajyoga meditators using machine learning algorithms.
In Procedia computer science
Shobhika Kumar, Prashant Chandra
2023
COVID-19, DASS, Machine learning algorithms, mental health

A Unified Framework for Monitoring Social Distancing and Face Mask Wearing Using Deep Learning: An Approach to Reduce COVID-19 Risk.
In Procedia computer science
Kaviya P, Chitra P, Selvakumar B
2023
COVID-19, Deep Learning, Face Mask Detection, ResNet50v2, Social Distance Prediction, Top View Transform Model (TVTM), YOLOv3

Coronavirus disease identification using Multi-subband feature analysis in DWT domain.
In Procedia computer science
Ali Nikhat, Yadav Jyotsna
2023
Covid-19, Discrete wavelet transform (DWT), X-ray, classification, machine learning, multi-subband

Data Mining Based Techniques for Covid-19 Predictions.
In Procedia computer science
Rane Rahul, Dubey Aditya, Rasool Akhtar, Wadhvani Rajesh
2023
Deep Learning Models, Soft Computing-based Models, Stochastic Forecasting Models, Supervised ML Models

SCS-Net: An efficient and practical approach towards Face Mask Detection.
In Procedia computer science
Masud Umar, Siddiqui Momin, Sadiq Mohd, Masood Sarfaraz
2023
CNNs, cosine similarity, covid-19, deep learning, face mask detection, image classification

VGG-COVIDNet: A Novel model for COVID detection from X-Ray and CT Scan images.
In Procedia computer science
Goyal Lakshay, Dhull Anuradha, Singh Akansha, Kukreja Sonal, Singh Krishna Kant
2023
Covid-19;Deep Learning, VGG-NET;Medical Iamging
AMSFMap Methodology to improve prediction accuracy of CNN model for Covid19 using X-ray images.
In Procedia computer science
Chauhan Hetal, Modi Kirit
2023
CNN, Channel Attention, Covid-19 Diagnosis, Deep Learning, Multi Scale Features, Severity Prediction

COVID-19 Lung CT image segmentation using localization and enhancement methods with U-Net.
In Procedia computer science
Ilhan Ahmet, Alpan Kezban, Sekeroglu Boran, Abiyev Rahib
2023
COVID-19, Enhancement, Localization, Lung CT, U-Net

Simulating Federated Transfer Learning for Lung Segmentation using Modified UNet Model.
In Procedia computer science
Ambesange Sateesh, Annappa B, Koolagudi Shashidhar G
2023
Federated Learning, Federated Transfer Learning, Lung image segmentation, MRI image segmentation, Transfer Learning, U-net Architecture, X-ray Image segmentation, data privacy

Impact on Air Quality Index of India Due to Lockdown.
In Procedia computer science
Dubey Aditya, Rasool Akhtar
2023
Deep Learning Models, Soft Computing-based Models, Stochastic Forecasting Models, Supervised ML Models

DapNet-HLA: Adaptive dual-attention mechanism network based on deep learning to predict non-classical HLA binding sites.
In Analytical biochemistry
Jing Yuanyuan, Zhang Shengli, Wang Houqiang
2023-Feb-03
Bahdanau attention mechanism, Non-classical HLA binding sites, SENet attention mechanism, Word embedding
Explainable artificial intelligence model for identifying COVID-19 gene biomarkers.
In Computers in biology and medicine
AIM :
METHODS :
RESULTS :
CONCLUSIONS :
Yagin Fatma Hilal, Cicek İpek Balikci, Alkhateeb Abedalrhman, Yagin Burak, Colak Cemil, Azzeh Mohammad, Akbulut Sami
2023-Feb-01
COVID-19, Explainable artificial intelligence, LIME, SHAP, XGBoost
Classification of COVID-19 from community-acquired pneumonia: Boosting the performance with capsule network and maximum intensity projection image of CT scans.
In Computers in biology and medicine
BACKGROUND :
METHODS :
RESULTS :
CONCLUSIONS :
Wu Yanan, Qi Qianqian, Qi Shouliang, Yang Liming, Wang Hanlin, Yu Hui, Li Jianpeng, Wang Gang, Zhang Ping, Liang Zhenyu, Chen Rongchang
2023-Jan-23
COVID-19, Capsule network, Community-acquired pneumonia, Computed tomography, Maximum intensity projection

[CRISPR-based molecular diagnostics: a review].
In Sheng wu gong cheng xue bao = Chinese journal of biotechnology
Sun Wenjun, Huang Xingxu, Wang Xinjie
2023-Jan-25
CRISPR, CRISPR-based detection, gene editing, molecular detection, nucleic acid detection, point-of-care testing (POCT)

Post-COVID-19 interstitial lung disease: Insights from a machine learning radiographic model.
In Frontiers in medicine
INTRODUCTION :
METHODS :
RESULTS :
CONCLUSION :
Karampitsakos Theodoros, Sotiropoulou Vasilina, Katsaras Matthaios, Tsiri Panagiota, Georgakopoulou Vasiliki E, Papanikolaou Ilias C, Bibaki Eleni, Tomos Ioannis, Lambiri Irini, Papaioannou Ourania, Zarkadi Eirini, Antonakis Emmanouil, Pandi Aggeliki, Malakounidou Elli, Sampsonas Fotios, Makrodimitri Sotiria, Chrysikos Serafeim, Hillas Georgios, Dimakou Katerina, Tzanakis Nikolaos, Sipsas Nikolaos V, Antoniou Katerina, Tzouvelekis Argyris
2022
antifibrotics, interstitial lung disease, long COVID, machine learning, post-COVID-19

Tele-Glaucoma Using a New Smartphone-based Tool for Visual Field Assessment.
In Journal of glaucoma
PRECIS :
BACKGROUND :
METHODS :
RESULTS :
CONCLUSION :
Grau Elisabeth, Andrae Stefan, Horn Folkert, Hohberger Bettina, Ring Matthias, Michelson Georg
2022-Nov-29

Methodological and Quality Flaws in the Use of Artificial Intelligence in Mental Health Research: Systematic Review.
In JMIR mental health
BACKGROUND :
OBJECTIVE :
METHODS :
RESULTS :
CONCLUSIONS :
Tornero-Costa Roberto, Martinez-Millana Antonio, Azzopardi-Muscat Natasha, Lazeri Ledia, Traver Vicente, Novillo-Ortiz David
2023-Feb-02
artificial intelligence, health research, mental health, research methodology, research quality, review methodology, systematic review, trial methodology

Host immunological responses facilitate development of SARS-CoV-2 mutations in patients receiving monoclonal antibody treatments.
In The Journal of clinical investigation ; h5-index 129.0
BACKGROUND :
METHODS :
RESULTS :
CONCLUSIONS :
Gupta Akshita, Konnova Angelina, Smet Mathias, Berkell Matilda, Savoldi Alessia, Morra Matteo, Van Averbeke Vincent, De Winter Fien Hr, Peserico Denise, Danese Elisa, Hotterbeekx An, Righi Elda, De Nardo Pasquale, Tacconelli Evelina, Malhotra-Kumar Surbhi, Kumar-Singh Samir
2023-Feb-09
COVID-19, Cellular immune response

Improving effectiveness of online learning for higher education students during the COVID-19 pandemic.
In Frontiers in psychology ; h5-index 92.0
Li Xuelan, Pei Zhiqiang
2022
COVID-19, analytic hierarchy process, cluster analysis, group dynamics theory, online learning community

Interacting with chatbots later in life: A technology acceptance perspective in COVID-19 pandemic situation.
In Frontiers in psychology ; h5-index 92.0
INTRODUCTION :
METHODS :
RESULTS :
Iancu Ioana, Iancu Bogdan
2022
behavioral intention, chatbots, middle-aged and aging adults, perceived ease of use, perceived usefulness, technology acceptance model
Socioexposomics of COVID-19 across New Jersey: a comparison of geostatistical and machine learning approaches.
In Journal of exposure science & environmental epidemiology ; h5-index 34.0
BACKGROUND :
OBJECTIVE :
METHODS :
RESULTS :
SIGNIFICANCE :
Ren Xiang, Mi Zhongyuan, Georgopoulos Panos G
2023-Feb-01
Bayesian geospatial modeling, COVID-19, Explainable machine learning, Exposome and socioexposome, Social/environmental health disparities

Future trajectory of respiratory infections following the COVID-19 pandemic in Hong Kong.
In Chaos (Woodbury, N.Y.)
Cheng Weibin, Zhou Hanchu, Ye Yang, Chen Yifan, Jing Fengshi, Cao Zhidong, Zeng Daniel Dajun, Zhang Qingpeng
2023-Jan

Recent Issues in Medical Journal Publishing and Editing Policies: Adoption of Artificial Intelligence, Preprints, Open Peer Review, Model Text Recycling Policies, Best Practice in Scholarly Publishing 4th Version, and Country Names in Titles.
In Neurointervention
Huh Sun
2023-Feb-01
Artificial intelligence, Culture, Peer review, Policy, Scholarly communication
Voice assistants' responses to questions about the COVID-19 vaccine: a national cross-sectional study.
In JMIR formative research
BACKGROUND :
OBJECTIVE :
METHODS :
RESULTS :
CONCLUSIONS :
Sossenheimer Philip, Hong Grace, Devon-Sand Anna, Lin Steven
2023-Jan-29

PneuNet: deep learning for COVID-19 pneumonia diagnosis on chest X-ray image analysis using Vision Transformer.
In Medical & biological engineering & computing ; h5-index 32.0
Wang Tianmu, Nie Zhenguo, Wang Ruijing, Xu Qingfeng, Huang Hongshi, Xu Handing, Xie Fugui, Liu Xin-Jun
2023-Jan-31
COVID-19, Deep learning, Multi-head attention, Pneumonia diagnosis, Vision Transformer

Data-driven analysis and predictive modeling on COVID-19.
In Concurrency and computation : practice & experience
Sharma Sonam, Alsmadi Izzat, Alkhawaldeh Rami S, Al-Ahmad Bilal
2022-Dec-25
COVID‐19, gender of patients, global growth rate, predictive modeling, social distancing

A face mask detection system: An approach to fight with COVID-19 scenario.
In Concurrency and computation : practice & experience
Jayaswal Ruchi, Dixit Manish
2022-Dec-25
3D‐face masks, CL‐SSDXcept, COVID‐19, DNN models, face mask detection, hyperparameters, optimizers

Rationing scarce healthcare capacity: A study of the ventilator allocation guidelines during the COVID-19 pandemic.
In Production and operations management
Anderson David R, Aydinliyim Tolga, Bjarnadóttir Margrét V, Çil Eren B, Anderson Michaela R
2023-Jan-22
COVID‐19, fairness, machine learning, multiclass queueing with abandonments, priority scheduling, resource allocation, scarce ventilator capacity

Federated learning based Covid-19 detection.
In Expert systems
Chowdhury Deepraj, Banerjee Soham, Sannigrahi Madhushree, Chakraborty Arka, Das Anik, Dey Ajoy, Dwivedi Ashutosh Dhar
2022-Nov-02
COVID‐19, CXR images, Internet of Medical Things (IoMT), Xception, cybersecurity, federated learning, privacy, transfer learning

The RW3D: A multi-modal panel dataset to understand the psychological impact of the pandemic
ArXiv Preprint
Isabelle van der Vegt, Bennett Kleinberg
2023-02-01

Dissociating COVID-19 from other respiratory infections based on acoustic, motor coordination, and phonemic patterns.
In Scientific reports ; h5-index 158.0
Talkar Tanya, Low Daniel M, Simpkin Andrew J, Ghosh Satrajit, O’Keeffe Derek T, Quatieri Thomas F
2023-Jan-28
Longitudinal changes in global structural brain connectivity and cognitive performance in former hospitalized COVID-19 survivors: an exploratory study.
In Experimental brain research
BACKGROUND :
OBJECTIVES :
METHODS :
RESULTS :
CONCLUSION :
Tassignon B, Radwan A, Blommaert J, Stas L, Allard S D, De Ridder F, De Waele E, Bulnes L C, Hoornaert N, Lacor P, Lathouwers E, Mertens R, Naeyaert M, Raeymaekers H, Seyler L, Van Binst A M, Van Imschoot L, Van Liedekerke L, Van Schependom J, Van Schuerbeek P, Vandekerckhove M, Meeusen R, Sunaert S, Nagels G, De Mey J, De Pauw K
2023-Jan-28
Magnetic resonance imaging, Recovery, SARS-CoV-2

Virtual screening and molecular dynamics simulations provide insight into repurposing drugs against SARS-CoV-2 variants Spike protein/ACE2 interface.
In Scientific reports ; h5-index 158.0
Pirolli Davide, Righino Benedetta, Camponeschi Chiara, Ria Francesco, Di Sante Gabriele, De Rosa Maria Cristina
2023-Jan-27

A survey of machine learning-based methods for COVID-19 medical image analysis.
In Medical & biological engineering & computing ; h5-index 32.0
Sailunaz Kashfia, Özyer Tansel, Rokne Jon, Alhajj Reda
2023-Jan-28
COVID-19, Computer tomography, Deep learning, Machine learning, Medical image analysis, Transfer learning
Development of an Artificial Intelligence-Guided Citizen-Centric Predictive Model for the Uptake of Maternal Health Services Among Pregnant Women Living in Urban Slum Settings in India: Protocol for a Cross-sectional Study With a Mixed Methods Design.
In JMIR research protocols ; h5-index 26.0
BACKGROUND :
OBJECTIVE :
METHODS :
RESULTS :
CONCLUSIONS :
INTERNATIONAL REGISTERED REPORT IDENTIFIER (IRRID) :
Shrivastava Rahul, Singhal Manmohan, Gupta Mansi, Joshi Ashish
2023-Jan-27
artificial intelligence, citizen centric, development, evaluation, informatics, machine learning, maternal health, predictive model
Application of artificial intelligence to the public health education.
In Frontiers in public health
Wang Xueyan, He Xiujing, Wei Jiawei, Liu Jianping, Li Yuanxi, Liu Xiaowei
2022
algorithm, artificial intelligence, big data, curriculum, education, public health
Entity and relation extraction from clinical case reports of COVID-19: a natural language processing approach.
In BMC medical informatics and decision making ; h5-index 38.0
BACKGROUND :
OBJECTIVE :
METHODS :
RESULTS :
CONCLUSIONS :
Raza Shaina, Schwartz Brian
2023-Jan-26
Artificial intelligence, COVID-19, Data cohort, Named entity, Natural language processing, Relation extraction, Transfer learning
Insights in paediatric virology during the COVID-19 era (Review).
In Medicine international
Mammas Ioannis N, Liston Maria, Koletsi Patra, Vitoratou Dimitra-Irinna, Koutsaftiki Chryssie, Papatheodoropoulou Alexia, Kornarou Helen, Theodoridou Maria, Kramvis Anna, Drysdale Simon B, Spandidos Demetrios A
2022
Institute of Paediatric Virology, ancient Mediterranean, artificial intelligence, coronavirus disease 2019, obesity, paediatric virology, severe acute respiratory syndrome coronavirus 2, viral infections, viral pandemics

DeepMPF: deep learning framework for predicting drug-target interactions based on multi-modal representation with meta-path semantic analysis.
In Journal of translational medicine
BACKGROUND :
METHODS :
RESULTS :
CONCLUSIONS :
Ren Zhong-Hao, You Zhu-Hong, Zou Quan, Yu Chang-Qing, Ma Yan-Fang, Guan Yong-Jian, You Hai-Ru, Wang Xin-Fei, Pan Jie
2023-Jan-25
Drug–protein interactions, Joint learning, Meta-path, Multi-modal, Natural language processing, Sequence analysis

An open-source molecular builder and free energy preparation workflow.
In Communications chemistry
Bieniek Mateusz K, Cree Ben, Pirie Rachael, Horton Joshua T, Tatum Natalie J, Cole Daniel J
2022-Oct-27

DeepGpgs: a novel deep learning framework for predicting arginine methylation sites combined with Gaussian prior and gated self-attention mechanism.
In Briefings in bioinformatics
Zhou Haiwei, Tan Wenxi, Shi Shaoping
2023-Jan-24
Gaussian prior, gated attention mechanism, methylation, residual network, weighted joint loss function

Executive protocol designed for new review study called: systematic review and artificial intelligence network meta-analysis (RAIN) with the first application for COVID-19.
In Biology methods & protocols
Salari Nader, Shohaimi Shamarina, Kiaei Aliakbar, Hosseinian-Far Amin, Mansouri Kamran, Ahmadi Arash, Mohammadi Masoud
2023
COVID-19, artificial intelligence, meta-analysis, network meta-analysis, protocol, systematic review
Conspiracy beliefs and COVID-19 guideline adherence in adolescent psychiatric outpatients: the predictive role of adverse childhood experiences.
In Child and adolescent psychiatry and mental health
BACKGROUND :
METHODS :
RESULTS :
CONCLUSION :
Goreis Andreas, Pfeffer Bettina, Zesch Heidi Elisabeth, Klinger Diana, Reiner Tamara, Bock Mercedes M, Ohmann Susanne, Sackl-Pammer Petra, Werneck-Rohrer Sonja, Eder Harald, Skala Katrin, Czernin Klara, Mairhofer Dunja, Rohringer Bernhard, Bedus Carolin, Lipp Ronja, Vesely Christine, Plener Paul L, Kothgassner Oswald D
2023-Jan-24
Adolescents, Adverse childhood experiences, COVID-19, Childhood Trauma, Conspiracy beliefs, Guideline adherence, Mental health
Generating simple classification rules to predict local surges in COVID-19 hospitalizations.
In Health care management science
Yaesoubi Reza, You Shiying, Xi Qin, Menzies Nicolas A, Tuite Ashleigh, Grad Yonatan H, Salomon Joshua A
2023-Jan-24
COVID-19, Decision tree, Machine learning, Prediction, Simulation, Surveillance

Deep learning identified genetic variants for COVID-19-related mortality among 28,097 affected cases in UK Biobank.
In Genetic epidemiology
Liu Zihuan, Dai Wei, Wang Shiying, Yao Yisha, Zhang Heping
2023-Jan-24
COVID-19, SARS-CoV-2, TAS2R1, UK Biobank, deep learning

Deep learning approach to security enforcement in cloud workflow orchestration.
In Journal of cloud computing (Heidelberg, Germany)
El-Kassabi Hadeel T, Serhani Mohamed Adel, Masud Mohammad M, Shuaib Khaled, Khalil Khaled
2023
Anomaly detection, Cloud, Cloud workflow, Covid-19, Deep learning, Prediction, Security enforcement

Protein-ligand binding affinity prediction with edge awareness and supervised attention.
In iScience
Gu Yuliang, Zhang Xiangzhou, Xu Anqi, Chen Weiqi, Liu Kang, Wu Lijuan, Mo Shenglong, Hu Yong, Liu Mei, Luo Qichao
2023-Jan-20
Biocomputational method, Classification of proteins, Molecular interaction

Estimation of the unemployment rate in Turkey: A comparison of the ARIMA and machine learning models including Covid-19 pandemic periods.
In Heliyon
Yamacli Dilek Surekci, Yamacli Serhan
2023-Jan
ANN, ARIMA, Estimation, Unemployment rate

Statistical Analysis of Mortality Rates of Coronavirus Disease 2019 (COVID-19) Patients in Japan Across the 4C Mortality Score Risk Groups, Age Groups, and Epidemiological Waves: A Report From the Nationwide COVID-19 Cohort.
In Open forum infectious diseases
BACKGROUND :
METHODS :
RESULTS :
CONCLUSIONS :
Baba Hiroaki, Ikumi Saori, Aoyama Shotaro, Ishikawa Tetsuo, Asai Yusuke, Matsunaga Nobuaki, Ohmagari Norio, Kanamori Hajime, Tokuda Koichi, Ueda Takuya, Kawakami Eiryo
2023-Jan
4C mortality score, COVID-19, Japan, elderly, epidemic wave

CovidExpert: A Triplet Siamese Neural Network framework for the detection of COVID-19.
In Informatics in medicine unlocked
Ornob Tareque Rahman, Roy Gourab, Hassan Enamul
2023
COVID-19 diagnosis, CT scan images, Ensemble CNN, Few-shot learning, Triplet siamese network

ELUCNN for explainable COVID-19 diagnosis.
In Soft computing
Wang Shui-Hua, Satapathy Suresh Chandra, Xie Man-Xia, Zhang Yu-Dong
2023-Jan-13
COVID-19, Cloud computing, Convolutional neural network, Cross validation, Deep learning, Exponential linear unit, Mobile app, Multiple-way data augmentation, SARS-CoV-2

COVID-19-The Role of Artificial Intelligence, Machine Learning, and Deep Learning: A Newfangled.
In Archives of computational methods in engineering : state of the art reviews
Vinod Dasari Naga, Prabaharan S R S
2023-Jan-17

Development of a Fast Fourier Transform-based Analytical Method for COVID-19 Diagnosis from Chest X-Ray Images Using GNU Octave.
In Journal of medical physics
PURPOSE :
MATERIALS AND METHODS :
RESULTS :
CONCLUSION :
Majumder Durjoy
2022
COVID-19, Chest X-ray image, Fourier analysis, image analysis, pneumonia

Machine learning-based integration develops biomarkers initial the crosstalk between inflammation and immune in acute myocardial infarction patients.
In Frontiers in cardiovascular medicine
Li Hongyu, Sun Xinti, Li Zesheng, Zhao Ruiping, Li Meng, Hu Taohong
2022
acute myocardial infarction, bioinformatics, immune infiltration, machine learning, prognosis

Analysis of individual characteristics influencing user polarization in COVID-19 vaccine hesitancy.
In Computers in human behavior ; h5-index 125.0
Xie Lei, Wang Dandan, Ma Feicheng
2023-Jan-17
Big five model of personality, COVID-19 pandemic, Curiosity-drive theory, User polarization, Vaccine hesitancy

Safety, Tolerability and Pharmacokinetics of Half-Life Extended SARS-CoV-2 Neutralizing Monoclonal Antibodies AZD7442 (Tixagevimab/Cilgavimab) in Healthy Adults.
In The Journal of infectious diseases ; h5-index 82.0
BACKGROUND :
METHODS :
RESULTS :
CONCLUSIONS :
CLINICAL TRIALS REGISTRATION :
Forte-Soto Pablo, Albayaty Muna, Brooks Dennis, Arends Rosalinda H, Tillinghast John, Aksyuk Anastasia A, Bouquet Jerome, Chen Cecil, Gebre Asfiha, Kubiak Robert J, Pilla Reddy Venkatesh, Seegobin Seth, Streicher Katie, Templeton Alison, Esser Mark T
2023-Jan-23
COVID-19, SARS-CoV-2, monoclonal antibody, pharmacokinetics, phase 1, safety, tolerability

Essential elements of weight loss apps for a multi-ethnic population with high BMI: a qualitative study with practical recommendations.
In Translational behavioral medicine
Chew Han Shi Jocelyn, Lim Su Lin, Kim Guowei, Kayambu Geetha, So Bok Yan Jimmy, Shabbir Asim, Gao Yujia
2023-Jan-23
App, BMI, Behavior, Perceptions, Weight management, mHealth

The role of mobile teledermoscopy in skin cancer triage and management during the COVID-19 pandemic.
In Indian journal of dermatology, venereology and leprology
Lee Claudia, Witkowski Alexander, Żychowska Magdalena, Ludzik Joanna
2022-Dec-08
COVID-19, Dermoscopy, melanoma, skin cancer, smartphone, teledermoscopy

A framework for designing AI systems that support community wellbeing.
In Frontiers in psychology ; h5-index 92.0
INTRODUCTION :
METHODS :
RESULTS :
DISCUSSION :
van der Maden Willem, Lomas Derek, Hekkert Paul
2022
artificial intelligence, community wellbeing, cybernetics, feedback loop, human values, human-centered design, wellbeing economy

An Artificial Intelligence-as-a-Service Architecture for deep learning model embodiment on low-cost devices: A case study of COVID-19 diagnosis.
In Applied soft computing
Rodrigues Moreira Larissa Ferreira, Moreira Rodrigo, Travençolo Bruno Augusto Nassif, Backes André Ricardo
2023-Feb
Artificial intelligence, COVID-19, Convolutional neural network, Embedded, Low-cost device

Deep Learning-Assisted Droplet Digital PCR for Quantitative Detection of Human Coronavirus.
In Biochip journal
Lee Young Suh, Choi Ji Wook, Kang Taewook, Chung Bong Geun
2023-Jan-17
Deep learning, GMM clustering, Image processing, Mask R-CNN, ddPCR

Machine learning sentiment analysis, COVID-19 news and stock market reactions.
In Research in international business and finance
Costola Michele, Hinz Oliver, Nofer Michael, Pelizzon Loriana
2023-Jan
COVID-19 news, Sentiment analysis, Stock markets

A review of advanced technologies available to improve the healthcare performance during COVID-19 pandemic.
In Procedia computer science
Ali Omar, AlAhmad Ahmad, Kahtan Hasan
2023
Artificial Intelligence, COVID-19, Cloud Computing, Healthcare, Informatization, Internet of Things

Towards precision medicine: Omics approach for COVID-19.
In Biosafety and health
Cen Xiaoping, Wang Fengao, Huang Xinhe, Jovic Dragomirka, Dubee Fred, Yang Huanming, Li Yixue
2023-Jan-18
COVID-19, artificial intelligence, multi-omics, precision medicine

Speech phoneme and spectral smearing based non-invasive COVID-19 detection.
In Frontiers in artificial intelligence
Mishra Soumya, Dash Tusar Kanti, Panda Ganapati
2022
COVID-19, COVID-19 detection, machine learning, phoneme analysis, spectral smearing

Curious thing, an artificial intelligence (AI)-based conversational agent for COVID-19 patient management.
In Australian journal of primary health ; h5-index 18.0
Chow Josephine Sau Fan, Blight Victoria, Brown Marian, Glynn Vanessa, Lane Brian, Larkin Amanda, Marshall Sonia, Matthews Prue, Rowles Mick, Warner Bradley
2023-Jan-23
Development and validation of a multivariable risk factor questionnaire to detect oesophageal cancer in 2-week wait patients.
In Clinics and research in hepatology and gastroenterology
INTRODUCTION :
METHODS :
RESULTS :
CONCLUSIONS :
Ho Kai Man Alexander, Rosenfeld Avi, Hogan Áine, McBain Hazel, Duku Margaret, Wolfson Paul Bd, Wilson Ashley, Cheung Sharon My, Hennelly Laura, Macabodbod Lester, Graham David G, Sehgal Vinay, Banerjee Amitava, Lovat Laurence B
2023-Jan-17

Mosaic RBD nanoparticles induce intergenus cross-reactive antibodies and protect against SARS-CoV-2 challenge.
In Proceedings of the National Academy of Sciences of the United States of America
Lee Dan Bi, Kim Hyojin, Jeong Ju Hwan, Jang Ui Soon, Jang Yuyeon, Roh Seokbeom, Jeon Hyunbum, Kim Eun Jeong, Han Su Yeon, Maeng Jin Young, Magez Stefan, Radwanska Magdalena, Mun Ji Young, Jun Hyun Sik, Lee Gyudo, Song Min-Suk, Lee Hye-Ra, Chung Mi Sook, Baek Yun Hee, Kim Kyung Hyun
2023-Jan-24
SARS-CoV-2, immune response, mosaic multivalent antigens, receptor-binding domain, spike

Multidimensional machine learning on 2173 COVID-19 patients in Vietnam: Retro-prospective Validation Study.
In JMIR formative research
BACKGROUND :
OBJECTIVE :
METHODS :
RESULTS :
CONCLUSIONS :
Nguyen Tue Trong, Ho Tu Cam, Bui Huong Thi Thu, Ho Lam Khanh, Ta Van Thanh
2023-Jan-18
Impact of the COVID-19 pandemic and corresponding control measures on long-term care facilities: a systematic review and meta-analysis.
In Age and ageing ; h5-index 55.0
BACKGROUND :
OBJECTIVE :
METHOD :
RESULTS :
CONCLUSION :
Zhang Jun, Yu Yushan, Petrovic Mirko, Pei Xiaomei, Tian Qing-Bao, Zhang Lei, Zhang Wei-Hong
2023-Jan-08
COVID-19, control measures, long-term care facilities, older people, systematic review
Long-term respiratory follow-up of ICU hospitalized COVID-19 patients: Prospective cohort study.
In PloS one ; h5-index 176.0
BACKGROUND :
METHODS :
RESULTS :
CONCLUSION :
Ribeiro Carvalho Carlos Roberto, Lamas Celina Almeida, Chate Rodrigo Caruso, Salge João Marcos, Sawamura Marcio Valente Yamada, de Albuquerque André L P, Toufen Junior Carlos, Lima Daniel Mario, Garcia Michelle Louvaes, Scudeller Paula Gobi, Nomura Cesar Higa, Gutierrez Marco Antonio, Baldi Bruno Guedes
2023

Sensing dynamic human activity zones using geo-tagged big data in Greater London, UK during the COVID-19 pandemic.
In PloS one ; h5-index 176.0
Chen Tongxin, Zhu Di, Cheng Tao, Gao Xiaowei, Chen Huanfa
2023
COVID-19's influence on cardiac function: a machine learning perspective on ECG analysis.
In Medical & biological engineering & computing ; h5-index 32.0
Gomes Juliana Carneiro, de Santana Maíra Araújo, Masood Aras Ismael, de Lima Clarisse Lins, Dos Santos Wellington Pinheiro
2023-Jan-20
COVID-19 clinical diagnosis, COVID-19 computer-aided diagnosis, Deep learning, Electrocardiography, Hybrid deep architectures

Social Media Devices' Influence on User Neck Pain during the COVID-19 Pandemic: Collaborating Vertebral-GLCM Extracted Features with a Decision Tree.
In Journal of imaging
Al-Naami Bassam, Badr Bashar E A, Rawash Yahia Z, Owida Hamza Abu, De Fazio Roberto, Visconti Paolo
2023-Jan-08
GLCM, decision tree algorithm, neck pain, smartphones, social media usage

A Survey on Deep Learning in COVID-19 Diagnosis.
In Journal of imaging
Han Xue, Hu Zuojin, Wang Shuihua, Zhang Yudong
2022-Dec-20
COVID-19, CT images, X-ray images, classification, convolutional neural networks, deep learning, diagnosis, transfer learning
Machine learning identifies T cell receptor repertoire signatures associated with COVID-19 severity.
In Communications biology
Park Jonathan J, Lee Kyoung A V, Lam Stanley Z, Moon Katherine S, Fang Zhenhao, Chen Sidi
2023-Jan-20

Fog-cloud architecture-driven Internet of Medical Things framework for healthcare monitoring.
In Medical & biological engineering & computing ; h5-index 32.0
Yıldırım Emre, Cicioğlu Murtaza, Çalhan Ali
2023-Jan-21
Cloud computing, Data analytics, Fog computing, IoMT, Machine learning, WBANs
Nesting the SIRV model with NAR, LSTM and statistical methods to fit and predict COVID-19 epidemic trend in Africa.
In BMC public health ; h5-index 82.0
OBJECTIVE :
METHODS :
RESULTS :
CONCLUSION :
Liu Xu-Dong, Wang Wei, Yang Yi, Hou Bo-Han, Olasehinde Toba Stephen, Feng Ning, Dong Xiao-Ping
2023-Jan-19
ARIMA, COVID-19, Epidemic, Functionalized β, Machine learning, Nested model, SIRV model
Improving the performance of machine learning algorithms for health outcomes predictions in multicentric cohorts.
In Scientific reports ; h5-index 158.0
Wichmann Roberta Moreira, Fernandes Fernando Timoteo, Chiavegatto Filho Alexandre Dias Porto
2023-Jan-19

Role of different types of RNA molecules in the severity prediction of SARS-CoV-2 patients.
In Pathology, research and practice
Jeyananthan Pratheeba
2023-Jan-15
COVID-19 molecular data, Classification algorithm, Feature selection, Severity prediction, Treatment stage, lncRNA, miRNA and mRNA

Characterizing SARS-CoV-2 Spike Sequences Based on Geographical Location.
In Journal of computational biology : a journal of computational molecular cell biology
Ali Sarwan, Bello Babatunde, Tayebi Zahra, Patterson Murray
2023-Jan-19
COVID-19, SARS-CoV-2, geographical location, k-mers, sequence classification

CNGOD-An improved convolution neural network with grasshopper optimization for detection of COVID-19.
In Mathematical biosciences and engineering : MBE
Singh Akansha, Singh Krishna Kant, Greguš Michal, Izonin Ivan
2022-Aug-26
** COVID-19 , Grasshopper Optimization , deep learning , diagnosis , machine learning **
Prehospital Cardiac Arrest should be considered when evaluating Covid-19 mortality in the United States.
In Methods of information in medicine
BACKGROUND :
OBJECTIVES :
METHODS :
RESULTS :
CONCLUSIONS :
Williams Nick
2023-Jan-18
Evolution of social mood in Spain throughout the COVID-19 vaccination process: a machine learning approach to tweets analysis.
In Public health
OBJECTIVES :
METHODS :
RESULTS :
CONCLUSIONS :
Turón A, Altuzarra A, Moreno-Jiménez J M, Navarro J
2022-Dec-14
COVID-19 vaccination process, Machine learning, Multivariate statistics, Sentiment analysis, Social mood, Tweets

Estimating Remaining Lifespan from the Face
ArXiv Preprint
Amir Fekrazad
2023-01-19
Using digital traces to build prospective and real-time county-level early warning systems to anticipate COVID-19 outbreaks in the United States.
In Science advances
Stolerman Lucas M, Clemente Leonardo, Poirier Canelle, Parag Kris V, Majumder Atreyee, Masyn Serge, Resch Bernd, Santillana Mauricio
2023-Jan-18

Diffusion-based Conditional ECG Generation with Structured State Space Models
ArXiv Preprint
Juan Miguel Lopez Alcaraz, Nils Strodthoff
2023-01-19
Is the generalizability of a developed artificial intelligence algorithm for COVID-19 on chest CT sufficient for clinical use? Results from the International Consortium for COVID-19 Imaging AI (ICOVAI).
In European radiology ; h5-index 62.0
OBJECTIVES :
METHODS :
RESULTS :
CONCLUSION :
KEY POINTS :
Topff Laurens, Groot Lipman Kevin B W, Guffens Frederic, Wittenberg Rianne, Bartels-Rutten Annemarieke, van Veenendaal Gerben, Hess Mirco, Lamerigts Kay, Wakkie Joris, Ranschaert Erik, Trebeschi Stefano, Visser Jacob J, Beets-Tan Regina G H
2023-Jan-18
Artificial intelligence, COVID-19, Computed tomography, Reproducibility of results, Validation study

Improving Food Detection For Images From a Wearable Egocentric Camera
ArXiv Preprint
Yue Han, Sri Kalyan Yarlagadda, Tonmoy Ghosh, Fengqing Zhu, Edward Sazonov, Edward J. Delp
2023-01-19

Pandemic disease detection through wireless communication using infrared image based on deep learning.
In Mathematical biosciences and engineering : MBE
Alhameed Mohammed, Jeribi Fathe, Elnaim Bushra Mohamed Elamin, Hossain Mohammad Alamgir, Abdelhag Mohammed Eltahir
2023-Jan
** convolution neural networks , deep learning , infrared image , machine intelligence , ten-folded-validation method **

Causal conditional hidden Markov model for multimodal traffic prediction
ArXiv Preprint
Yu Zhao, Pan Deng, Junting Liu, Xiaofeng Jia, Mulan Wang
2023-01-19

On the implementation of a new version of the Weibull distribution and machine learning approach to model the COVID-19 data.
In Mathematical biosciences and engineering : MBE
Zhou Yinghui, Ahmad Zubair, Almaspoor Zahra, Khan Faridoon, Tag-Eldin Elsayed, Iqbal Zahoor, El-Morshedy Mahmoud
2023-Jan
** family of distributions , healthcare sector , machine learning algorithms , mathematical properties , simulation , statistical modeling **

Ensemble of deep learning language models to support the creation of living systematic reviews for the COVID-19 literature: a retrospective study
bioRxiv Preprint
Knafou, J.; Haas, Q.; Borissov, N.; Counotte, M. J.; Low, N.; Imeri, H.; Ipekci, A. M.; Buitrago-Garcia, D.; Heron, L.; Amini, P.; Teodoro, D.
2023-01-19

Decision-Focused Evaluation: Analyzing Performance of Deployed Restless Multi-Arm Bandits
ArXiv Preprint
Paritosh Verma, Shresth Verma, Aditya Mate, Aparna Taneja, Milind Tambe
2023-01-19

Automated grading of chest x-ray images for viral pneumonia with convolutional neural networks ensemble and region of interest localization.
In PloS one ; h5-index 176.0
Khan Asad, Akram Muhammad Usman, Nazir Sajid
2023
Applications of social media and digital technology in COVID-19 vaccination: a scoping review.
In Journal of medical Internet research ; h5-index 88.0
BACKGROUND :
OBJECTIVE :
METHODS :
RESULTS :
CONCLUSIONS :
CLINICALTRIAL :
Zang Shujie, Zhang Xu, Xing Yuting, Chen Jiaxian, Lin Leesa, Hou Zhiyuan
2023-Jan-13
Technology-Enabled Collaborative Care for Concurrent Diabetes and Distress Management During the COVID-19 Pandemic: Protocol for a Mixed Methods Feasibility Study.
In JMIR research protocols ; h5-index 26.0
BACKGROUND :
OBJECTIVE :
METHODS :
RESULTS :
CONCLUSIONS :
TRIAL REGISTRATION :
INTERNATIONAL REGISTERED REPORT IDENTIFIER (IRRID) :
Vojtila Lenka, Sherifali Diana, Dragonetti Rosa, Ashfaq Iqra, Veldhuizen Scott, Naeem Farooq, Agarwal Sri Mahavir, Melamed Osnat C, Crawford Allison, Gerretsen Philip, Hahn Margaret, Hill Sean, Kidd Sean, Mulsant Benoit, Serhal Eva, Tackaberry-Giddens Leah, Whitmore Carly, Marttila Jennifer, Tang Frank, Ramdass Seeta, Lourido Gloria, Sockalingam Sanjeev, Selby Peter
2023-Jan-17
coaching, collaborative care, diabetes, diabetic, digital health, eHealth, feasibility, health outcome, mental health, nurse, nursing, patient education, qualitative, satisfaction, substance use, technology, type 2 diabetes mellitus, virtual care

Predicting brain-regional gene regulatory networks from multi-omics for Alzheimer's disease phenotypes and Covid-19 severity.
In Human molecular genetics ; h5-index 81.0
Khullar Saniya, Wang Daifeng
2023-Jan-16

Towards an ML-Based Semantic IoT for Pandemic Management: A Survey of Enabling Technologies for COVID-19.
In Neurocomputing
Zgheib Rita, Chahbandarian Ghazar, Kamalov Firuz, Messiry Haythem El, Al-Gindy Ahmed
2023-Jan-12
COVID-19, Cloud architecture, Internet of Things, Machine Learning, Ontologies, Survey

#COVIDisAirborne: AI-enabled multiscale computational microscopy of delta SARS-CoV-2 in a respiratory aerosol.
In The international journal of high performance computing applications
Dommer Abigail, Casalino Lorenzo, Kearns Fiona, Rosenfeld Mia, Wauer Nicholas, Ahn Surl-Hee, Russo John, Oliveira Sofia, Morris Clare, Bogetti Anthony, Trifan Anda, Brace Alexander, Sztain Terra, Clyde Austin, Ma Heng, Chennubhotla Chakra, Lee Hyungro, Turilli Matteo, Khalid Syma, Tamayo-Mendoza Teresa, Welborn Matthew, Christensen Anders, Smith Daniel Ga, Qiao Zhuoran, Sirumalla Sai K, O’Connor Michael, Manby Frederick, Anandkumar Anima, Hardy David, Phillips James, Stern Abraham, Romero Josh, Clark David, Dorrell Mitchell, Maiden Tom, Huang Lei, McCalpin John, Woods Christopher, Gray Alan, Williams Matt, Barker Bryan, Rajapaksha Harinda, Pitts Richard, Gibbs Tom, Stone John, Zuckerman Daniel M, Mulholland Adrian J, Miller Thomas, Jha Shantenu, Ramanathan Arvind, Chong Lillian, Amaro Rommie E
2023-Jan
AI, COVID-19, Delta, GPU, HPC, SARS-CoV-2, aerosols, computational virology, deep learning, molecular dynamics, multiscale simulation, weighted ensemble

Benchmarking of analytical combinations for COVID-19 outcome prediction using single-cell RNA sequencing data
bioRxiv Preprint
Cao, Y.; Ghazanfar, S.; Yang, P.; Yang, J.
2023-01-18

Use of Artificial Intelligence in the Search for New Information Through Routine Laboratory Tests: Systematic Review.
In JMIR bioinformatics and biotechnology
BACKGROUND :
OBJECTIVE :
METHODS :
RESULTS :
CONCLUSIONS :
Cardozo Glauco, Tirloni Salvador Francisco, Pereira Moro Antônio Renato, Marques Jefferson Luiz Brum
2022
COVID-19, diagnosis, laboratory tests, machine learning, prediction, review
Association of Neutralizing Anti-spike Monoclonal Antibody Treatment With COVID-19 Hospitalization and Assessment of the Monoclonal Antibody Screening Score.
In Mayo Clinic proceedings. Innovations, quality & outcomes
OBJECTIVE :
PATIENTS AND METHODS :
RESULTS :
CONCLUSIONS :
Johnson Patrick W, Kunze Katie L, Senefeld Jonathon W, Sinclair Jorge E, Isha Shahin, Satashia Parthkumar H, Bhakta Shivang, Cowart Jennifer B, Bosch Wendelyn, O’Horo Jack, Shah Sadia Z, Wadei Hani M, Edwards Michael A, Pollock Benjamin D, Edwards Alana J, Scheitel-Tulledge Sidna, Clune Caroline G, Hanson Sara N, Arndt Richard, Heyliger Alexander, Kudrna Cory, Bierle Dennis M, Buckmeier Jason R, Seville Maria Teresa A, Orenstein Robert, Libertin Claudia, Ganesh Ravindra, Franco Pablo Moreno, Razonable Raymund R, Carter Rickey E, Sanghavi Devang K, Speicher Leigh L
2023-Jan-11
CMH, Cochran Mantel Haenszel, COVID-19, Coronavirus Disease 2019, GBM, Gradient Boosting Machine, MASS, Monoclonal Antibody Screening Score, SARS-CoV-2, Severe Acute Respiratory Syndrome Corona Virus 2
The race to understand immunopathology in COVID-19: perspectives on the impact of quantitative approaches to understand within-host interactions.
In Immunoinformatics (Amsterdam, Netherlands)
Gazeau Sonia, Deng Xiaoyan, Ooi Hsu Kiang, Mostefai Fatima, Hussin Julie, Heffernan Jane, Jenner Adrianne L, Craig Morgan
2023-Jan-08
COVID-19, SARS-CoV-2, computational modelling, immunopathology, machine learning, mathematical modelling, population genetics, within-host dynamics

Deep learning-based user experience evaluation in distance learning.
In Cluster computing
Sadigov Rahim, Yıldırım Elif, Kocaçınar Büşra, Patlar Akbulut Fatma, Catal Cagatay
2023-Jan-08
Deep learning, Distance learning, NLP, Sentiment analysis

Bibliometric analysis of top-cited articles in Journal of Dental Sciences.
In Journal of dental sciences
BACKGROUND/PURPOSE :
MATERIALS AND METHODS :
RESULTS :
CONCLUSION :
Yang Li-Chiu, Liu Fu-Hsuan, Liu Chia-Min, Yu Chuan-Hang, Chang Yu-Chao
2023-Jan
Bibliometric analysis, Citation analysis, Journal of Dental Sciences, Web of Science

A systematic literature review of machine learning application in COVID-19 medical image classification.
In Procedia computer science
Daniel Cenggoro, Tjeng Wawan Pardamean
2023
COVID-19, classification, disease, machine learning, medical images

Towards a more general drug target interaction prediction model using transfer learning.
In Procedia computer science
Suhartono Derwin, Majiid Muhammad Rizki Nur, Handoyo Alif Tri, Wicaksono Pandu, Lucky Henry
2023
SMILES, deep learning, drug discovery, drug-target interaction, transfer learning

Comparative analysis of deep learning models for detecting face mask.
In Procedia computer science
Ramadhan M Vickya, Muchtar Kahlil, Nurdin Yudha, Oktiana Maulisa, Fitria Maya, Maulina Novi, Elwirehardja Gregorius Natanael, Pardamean Bens
2023
Binary Classification, Deep Learning, Face mask detection

Development clustering system IDX company with k-means algorithm and DBSCAN based on fundamental indicator and ESG.
In Procedia computer science
Pranata Kevin Surya, Gunawan Alexander A S, Gaol Ford Lumban
2023
DBSCAN, ESG, Fundamental Indicator, IDX, K-Means Clustering, KOMPAS100, Machine Learning

The next generation of evidence-based medicine.
In Nature medicine ; h5-index 170.0
Subbiah Vivek
2023-Jan-16

Perioperative Risk Assessment of Patients Using the MyRISK Digital Score Completed Before the Preanesthetic Consultation: Prospective Observational Study.
In JMIR perioperative medicine
BACKGROUND :
OBJECTIVE :
METHODS :
RESULTS :
CONCLUSIONS :
Ferré Fabrice, Laurent Rodolphe, Furelau Philippine, Doumard Emmanuel, Ferrier Anne, Bosch Laetitia, Ba Cyndie, Menut Rémi, Kurrek Matt, Geeraerts Thomas, Piau Antoine, Minville Vincent
2023-Jan-16
chatbot, digital health, machine learning, mobile phone, perioperative risk, preanesthetic consultation

Re-envisioning the design of nanomedicines: Harnessing automation and artificial intelligence.
In Expert opinion on drug delivery
INTRODUCTION :
AREAS COVERED :
EXPERT OPINION :
Zaslavsky Jonathan, Bannigan Pauric, Allen Christine
2023-Jan-16
Artificial intelligence, Automation, Drug delivery, Machine learning, Nanomedicine, Pharmaceutical formulation development

Transformer for one stop interpretable cell type annotation.
In Nature communications ; h5-index 260.0
Chen Jiawei, Xu Hao, Tao Wanyu, Chen Zhaoxiong, Zhao Yuxuan, Han Jing-Dong J
2023-Jan-14

Optimizing variant-specific therapeutic SARS-CoV-2 decoys using deep-learning-guided molecular dynamics simulations.
In Scientific reports ; h5-index 158.0
Köchl Katharina, Schopper Tobias, Durmaz Vedat, Parigger Lena, Singh Amit, Krassnigg Andreas, Cespugli Marco, Wu Wei, Yang Xiaoli, Zhang Yanchong, Wang Welson Wen-Shang, Selluski Crystal, Zhao Tiehan, Zhang Xin, Bai Caihong, Lin Leon, Hu Yuxiang, Xie Zhiwei, Zhang Zaihui, Yan Jun, Zatloukal Kurt, Gruber Karl, Steinkellner Georg, Gruber Christian C
2023-Jan-14

ACSN: Attention capsule sampling network for diagnosing COVID-19 based on chest CT scans.
In Computers in biology and medicine
Wen Cuihong, Liu Shaowu, Liu Shuai, Heidari Ali Asghar, Hijji Mohammad, Zarco Carmen, Muhammad Khan
2022-Nov-22
COVID-19 recognition, Capsule network, Chest CT scan, Deep learning, Feature sampling, Lung infections

Utilisation of deep learning for COVID-19 diagnosis.
In Clinical radiology
Aslani S, Jacob J
2023-Feb
Necessity and challenges for the post-pandemic Hangzhou Asian Games: An interdisciplinary data science assessment.
In Frontiers in psychology ; h5-index 92.0
BACKGROUND :
METHODS :
RESULTS :
CONCLUSION :
Guo Jianwei, Zhang Xiangning, Cui Dandan
2022
Asian Games, COVID-19, Olympic Games, elite sport, public health

Primary Care Physicians' and Patients' Perspectives on Equity and Health Security of Infectious Disease Digital Surveillance.
In Annals of family medicine
PURPOSE :
METHODS :
RESULTS :
CONCLUSION :
Wong William Chi Wai, Zhao Ivy Yan, Ma Ye Xuan, Dong Wei Nan, Liu Jia, Pang Qin, Lu Xiao Qin, Molassiotis Alex, Holroyd Eleanor
2023-Jan-12
AI, artificial intelligence, disease outbreaks, disease survelillances, ethical issue

RNAdegformer: accurate prediction of mRNA degradation at nucleotide resolution with deep learning.
In Briefings in bioinformatics
He Shujun, Gao Baizhen, Sabnis Rushant, Sun Qing
2023-Jan-12
COVID-19 mRNA, bioinformatics, deep learning, mRNA vaccine degradation
Machine Learning-Assisted Real-Time Polymerase Chain Reaction and High-Resolution Melt Analysis for SARS-CoV-2 Variant Identification.
In Analytical chemistry
Promja Sutossarat, Puenpa Jiratchaya, Achakulvisut Titipat, Poovorawan Yong, Lee Su Yin, Athamanolap Pornpat, Lertanantawong Benchaporn
2023-Jan-12

Digital Cough Monitoring - A Potential Predictive Acoustic Biomarker Of Clinical Outcomes in Hospitalized COVID-19 Patients.
In Journal of biomedical informatics ; h5-index 55.0
PURPOSE :
METHODS :
RESULTS :
INTERPRETATION :
Altshuler Ellery, Tannir Bouchra, Jolicoeur Gisèle, Rudd Matthew, Saleem Cyrus, Cherabuddi Kartikeya, Hélène Doré Dominique, Nagarsheth Parav, Brew Joe, Small Peter M, Glenn Morris J, Grandjean Lapierre Simon
2023-Jan-09
Artificial intelligence, Clinical decision making, Cough, Covid-19, Machine learning

Lethality risk markers by sex and age-group for COVID-19 in Mexico: a cross-sectional study based on machine learning approach.
In BMC infectious diseases ; h5-index 58.0
BACKGROUND :
METHODS :
RESULTS :
CONCLUSIONS :
Rojas-García Mariano, Vázquez Blanca, Torres-Poveda Kirvis, Madrid-Marina Vicente
2023-Jan-11
COVID-19, Lethality risk markers, Machine learning, Mexico

Machine learning for optimal test admission in the presence of resource constraints.
In Health care management science
Elitzur Ramy, Krass Dmitry, Zimlichman Eyal
2023-Jan-12
Data analytics, Machine learning, Optimal test admission policies, Predictive analytics
A Geo-AI-based ensemble mixed spatial prediction model with fine spatial-temporal resolution for estimating daytime/nighttime/daily average ozone concentrations variations in Taiwan.
In Journal of hazardous materials
Babaan Jennieveive, Hsu Fang-Tzu, Wong Pei-Yi, Chen Pau-Chung, Guo Yue-Leon, Lung Shih-Chun Candice, Chen Yu-Cheng, Wu Chih-Da
2023-Jan-07
Diurnal changes, Ensemble learning, Geospatial artificial intelligence, Land use regression, O(3)

An integrated LSTM-HeteroRGNN model for interpretable opioid overdose risk prediction.
In Artificial intelligence in medicine ; h5-index 34.0
Dong Xinyu, Wong Rachel, Lyu Weimin, Abell-Hart Kayley, Deng Jianyuan, Liu Yinan, Hajagos Janos G, Rosenthal Richard N, Chen Chao, Wang Fusheng
2023-Jan
Clinical decision support, Deep learning, Electronic health records, Graph neural network, Long short-term memory, Opioid overdose, Opioid poisoning
Prognosis of COVID-19 patients using lab tests: A data mining approach.
In Health science reports
BACKGROUND :
METHODS :
RESULTS :
CONCLUSION :
Khounraz Fariba, Khodadoost Mahmood, Gholamzadeh Saeid, Pourhamidi Rashed, Baniasadi Tayebeh, Jafarbigloo Aida, Mohammadi Gohar, Ahmadi Mahnaz, Ayyoubzadeh Seyed Mohammad
2023-Jan
COVID‐19, Gradient Boosted Trees, artificial intelligence, data mining, machine learning

Does noncompliance with COVID-19 regulations impact the depressive symptoms of others?
In Economic modelling
Oyenubi Adeola, Kollamparambil Umakrishnan
2023-Mar
Causal inference, Double machine learning, Mental health, Negative externality, South Africa

Independent regulation of Z-lines and M-linesduring sarcomere assembly in cardiac myocytesrevealed by the automatic image analysis software sarcApp
bioRxiv Preprint
Neininger-Castro, A. C.; Hayes, J. B.; Sanchez, Z. C.; Taneja, N.; Fenix, A. M.; Moparthi, S.; Vassilopoulos, S.; Burnette, D. T.
2023-01-12

Coronavirus covid-19 detection by means of explainable deep learning.
In Scientific reports ; h5-index 158.0
Mercaldo Francesco, Belfiore Maria Paola, Reginelli Alfonso, Brunese Luca, Santone Antonella
2023-Jan-10
Innovations in Public Health Surveillance for Emerging Infections.
In Annual review of public health
Jia Peng, Liu Shiyong, Yang Shujuan
2022-Jan-10

Big Data in Genomic Research for Big Questions with Examples from Covid-19 and Other Zoonoses.
In Journal of applied microbiology
Wassenaar Trudy M, Ussery David W, Rosel Adriana Cabal
2022-Dec-16
Covid-19, Salmonella, big data, genomics, omics, scientific publishing, zoonoses

Machine learning-driven blood transcriptome-based discovery of SARS-CoV-2 specific severity biomarkers.
In Journal of medical virology
Krishnamoorthy Pandikannan, Raj Athira S, Kumar Himanshu
2023-Jan-10
Blood biomarker, Machine learning, Meta-analysis, SARS-CoV-2, Transcriptome

Research on interaction of innovation spillovers in the AI, Fin-Tech, and IoT industries: considering structural changes accelerated by COVID-19.
In Financial innovation
Ho Chi-Ming
2023
AI, Covid-19, Fin-Tech, Innovation spillover, IoT

Using knowledge of, attitude toward, and daily preventive practices for COVID-19 to predict the level of post-traumatic stress and vaccine acceptance among adults in Hong Kong.
In Frontiers in psychology ; h5-index 92.0
INTRODUCTION :
METHODS :
RESULTS :
DISCUSSION :
Cao Yuan, Siu Judy Yuen-Man, Choi Kup-Sze, Ho Nick Cho-Lik, Wong Kai Chun, Shum David H K
2022
COVID-19, KAP, PTSD, knowledge – attitude – behavior, vaccine

Drug repositioning based on heterogeneous networks and variational graph autoencoders.
In Frontiers in pharmacology
Lei Song, Lei Xiujuan, Liu Lian
2022
COVID-19, drug repositioning, graph representation learning, heterogeneous network, variational graph autoencoders
Swin-textural: A novel textural features-based image classification model for COVID-19 detection on chest computed tomography.
In Informatics in medicine unlocked
BACKGROUND :
MATERIAL AND METHOD :
RESULTS :
CONCLUSIONS :
Tuncer Ilknur, Barua Prabal Datta, Dogan Sengul, Baygin Mehmet, Tuncer Turker, Tan Ru-San, Yeong Chai Hong, Acharya U Rajendra
2023
COVID-19 classification, Computed tomography images, Swin, Swin-textural, Textural feature extraction

Cluster-based text mining for extracting drug candidates for the prevention of COVID-19 from the biomedical literature.
In Journal of Taibah University Medical Sciences
OBJECTIVE :
METHODS :
RESULTS :
CONCLUSIONS :
Supianto Ahmad Afif, Nurdiansyah Rizky, Weng Chia-Wei, Zilvan Vicky, Yuwana Raden Sandra, Arisal Andria, Pardede Hilman Ferdinandus, Lee Min-Min, Huang Chien-Hung, Ng Ka-Lok
2023-Jan-04
COVID-19, Coronavirus, Drug docking, Phytochemicals, SARS-CoV-2, Text mining

Literature analysis of artificial intelligence in biomedicine.
In Annals of translational medicine
Hulsen Tim
2022-Dec
Artificial intelligence (AI), Embase, PubMed, biomedicine, deep learning (DL), healthcare, literature, machine learning (ML), medicine, neural networks (NNs)
Predictive model for BNT162b2 vaccine response in cancer patients based on blood cytokines and growth factors.
In Frontiers in immunology ; h5-index 100.0
BACKGROUND :
METHODS :
RESULTS :
CONCLUSION :
Konnova Angelina, De Winter Fien H R, Gupta Akshita, Verbruggen Lise, Hotterbeekx An, Berkell Matilda, Teuwen Laure-Anne, Vanhoutte Greetje, Peeters Bart, Raats Silke, der Massen Isolde Van, De Keersmaecker Sven, Debie Yana, Huizing Manon, Pannus Pieter, Neven Kristof Y, Ariën Kevin K, Martens Geert A, Bulcke Marc Van Den, Roelant Ella, Desombere Isabelle, Anguille Sébastien, Berneman Zwi, Goossens Maria E, Goossens Herman, Malhotra-Kumar Surbhi, Tacconelli Evelina, Vandamme Timon, Peeters Marc, van Dam Peter, Kumar-Singh Samir
2022
BNT162b2, COVID-19 vaccine, SARS-CoV-2, chemokines, cytokines, growth factors, haematological malignancies, solid cancers

D3SENet: A hybrid deep feature extraction network for Covid-19 classification using chest X-ray images.
In Biomedical signal processing and control
Kaya Mustafa, Eris Mustafa
2023-Apr
Covid-19, Deep Ensemble Network, Deep Learning, Machine Learning, Medical Image Processing

Locating frontline workers' position up against COVID-19.
In Journal of family medicine and primary care
Gupta Harish
2022-Oct
Artificial Intelligence, essential service providers, frontline workers, health-care professionals, modern warfare
A demonstration of Modified Treatment Policies to evaluate shifts in mobility and COVID-19 case rates in U.S. counties.
In American journal of epidemiology ; h5-index 65.0
Nugent Joshua R, Balzer Laura B
2023-Jan-09
COVID-19 Pandemic, Machine Learning, modified treatment policy, targeted learning

Intelligent speech technologies for transcription, disease diagnosis, and medical equipment interactive control in smart hospitals: A review.
In Computers in biology and medicine
Zhang Jun, Wu Jingyue, Qiu Yiyi, Song Aiguo, Li Weifeng, Li Xin, Liu Yecheng
2023-Jan-05
Automatic speech recognition, Diagnosis, Human-computer interaction, Machine learning, Smart hospital, Transcription
The Use of Digital Technology for COVID-19 Detection, and Response Management in Indonesia: A Mixed Methods Study.
In Interactive journal of medical research
BACKGROUND :
OBJECTIVE :
METHODS :
RESULTS :
CONCLUSIONS :
Nur Aisyah Dewi, Lokopessy Alfiano Fawwaz, Naman Maryan, Diva Haniena, Manikam Logan, Adisasmito Wiku, Kozlakidis Zisis
2023-Jan-09

Deep Learning Models for Multiple Face Mask Detection under a Complex Big Data Environment.
In Procedia computer science
Rekha V, Manoharan J Samuel, Hemalatha R, Saravanan D
2022
Big Data, Complex Data analytics, Deep Learning models, Face Mask Detection, Multi – Sensor Data Acquisition

A fuzzy fine-tuned model for COVID-19 diagnosis.
In Computers in biology and medicine
Esmi Nima, Golshan Yasaman, Asadi Sara, Shahbahrami Asadollah, Gaydadjiev Georgi
2023-Jan-04
Blind/Referenceless image spatial quality evaluator, COVID-19, Deep learning, Fuzzy pooling, Weighted multi-class cross-entropy

Disease X vaccine production and supply chains: risk assessing healthcare systems operating with artificial intelligence and industry 4.0.
In Health and technology
OBJECTIVE :
METHOD :
RESULTS :
CONCLUSION :
Radanliev Petar, De Roure David
2023-Jan-04
Artificial intelligence, Disease X, Healthcare systems, Industry 4.0, Risk assessment, Vaccine production and supply chains

An Optimized Deep Learning Approach for the Prediction of Social Distance Among Individuals in Public Places During Pandemic.
In New generation computing
Sahoo Santosh Kumar, Palai G, Altahan Baraa Riyadh, Ahammad Sk Hasane, Priya P Poorna, Hossain Md Amzad, Rashed Ahmed Nabih Zaki
2023-Jan-02
Deep learning, Detectron2, Intersection over union, Object detection, Social distancing
A measurement method for mental health based on dynamic multimodal feature recognition.
In Frontiers in public health
INTRODUCTION :
METHODS :
RESULTS :
CONCLUSION :
Xu Haibo, Wu Xiang, Liu Xin
2022
deep learning, emotion recognition, interactive assessment scale, mental health assessment, video feature extraction
Artificial intelligence-assisted multistrategy image enhancement of chest X-rays for COVID-19 classification.
In Quantitative imaging in medicine and surgery
BACKGROUND :
METHODS :
RESULTS :
CONCLUSIONS :
Sun Hongfei, Ren Ge, Teng Xinzhi, Song Liming, Li Kang, Yang Jianhua, Hu Xiaofei, Zhan Yuefu, Wan Shiu Bun Nelson, Wong Man Fung Esther, Chan King Kwong, Tsang Hoi Ching Hailey, Xu Lu, Wu Tak Chiu, Kong Feng-Ming Spring, Wang Yi Xiang J, Qin Jing, Chan Wing Chi Lawrence, Ying Michael, Cai Jing
2023-Jan-01
Coronavirus disease 2019 (COVID-19), bone suppression, chest X-ray (CXR), super-resolution

Genomic landscape of the SARS-CoV-2 pandemic in Brazil suggests an external P.1 variant origin.
In Frontiers in microbiology
Perico Camila P, De Pierri Camilla R, Neto Giuseppe Pasqualato, Fernandes Danrley R, Pedrosa Fabio O, de Souza Emanuel M, Raittz Roberto T
2022
SWeeP, big data, diversity, genomics and proteomics, machine learning, virus

Multi-verse Optimizer with Rosenbrock and Diffusion Mechanisms for Multilevel Threshold Image Segmentation from COVID-19 Chest X-Ray Images.
In Journal of bionic engineering
Han Yan, Chen Weibin, Heidari Ali Asghar, Chen Huiling
2023-Jan-04
Bionic algorithm, COVID-19, Kapur’s entropy, Meta-heuristic algorithm, Multi-verse optimizer, Multilevel threshold image segmentation

Integration of improved YOLOv5 for face mask detector and auto-labeling to generate dataset for fighting against COVID-19.
In The Journal of supercomputing
Pham Thi-Ngot, Nguyen Viet-Hoan, Huh Jun-Ho
2023-Jan-03
Auto-labeling, COVID-19, Coordinate attention, Deep learning, Face mask detection, YOLO, YOLOv5, You Only Look One

RADIC:A tool for diagnosing COVID-19 from chest CT and X-ray scans using deep learning and quad-radiomics.
In Chemometrics and intelligent laboratory systems : an international journal sponsored by the Chemometrics Society
Attallah Omneya
2023-Feb-15
COVID-19, Convolution neural networks (CNN), Deep learning, Discrete wavelet transform, Dual-tree complex wavelet transform, Texture analysis

MTSS-AAE: Multi-task semi-supervised adversarial autoencoding for COVID-19 detection based on chest X-ray images.
In Expert systems with applications
Ullah Zahid, Usman Muhammad, Gwak Jeonghwan
2023-Apr-15
COVID-19, Deep learning, Multi-task learning, Representation learning, Semi-supervised adversarial learning

Critical review of conformational B-cell epitope prediction methods.
In Briefings in bioinformatics
Cia Gabriel, Pucci Fabrizio, Rooman Marianne
2023-Jan-05
Antibody-specific epitope prediction, Benchmarking, Conformational B-cell epitope prediction, Immunoinformatics

Can Tele-Neuro-Ophthalmology Be Useful Beyond the Pandemic?
In Current neurology and neuroscience reports
PURPOSE OF THE REVIEW :
RECENT FINDINGS :
Lai Kevin E, Ko Melissa W
2023-Jan-07
Artificial intelligence, Augmented reality, Neuro-ophthalmology, Pandemic, Telehealth, Telemedicine

Authentication of Covid-19 Vaccines Using Synchronous Fluorescence Spectroscopy.
In Journal of fluorescence
Assi Sulaf, Abbas Ismail, Arafat Basel, Evans Kieran, Al-Jumeily Dhiya
2023-Jan-07
Covid-19, Gaussian mixture models, Principal component analysis, Self organising maps, Synchronous fluorescence, Vaccines
Machine learning to analyse omic-data for COVID-19 diagnosis and prognosis.
In BMC bioinformatics
BACKGROUND :
RESULTS :
CONCLUSIONS :
Liu Xuehan, Hasan Md Rakibul, Ahmed Khandaker Asif, Hossain Md Zakir
2023-Jan-06
Autoencoder, COVID-19 diagnosis, Machine learning, Multi-omics, Severity

Nurses' Work Concerns and Disenchantment during the COVID-19 Pandemic: Machine Learning Analysis of Online Discussions.
In JMIR nursing
BACKGROUND :
OBJECTIVE :
METHODS :
RESULTS :
CONCLUSIONS :
Jiang Haoqiang, Castellanos Arturo, Castillo Alfred, Gomes Paulo J, Li Juanjuan, VanderMeer Debra
2023-Jan-03

Severe COVID-19 Infection in Type 1 and Type 2 Diabetes During the First Three Waves in Sweden.
In Diabetes care ; h5-index 125.0
OBJECTIVE :
RESEARCH DESIGN AND METHODS :
RESULTS :
CONCLUSIONS :
Edqvist Jon, Lundberg Christina, Andreasson Karin, Björck Lena, Dikaiou Pigi, Ludvigsson Johnny, Lind Marcus, Adiels Martin, Rosengren Annika
2023-Jan-06

The 2000HIV study: Design, multi-omics methods and participant characteristics.
In Frontiers in immunology ; h5-index 100.0
BACKGROUND :
METHODS :
RESULTS :
CONCLUSION :
Vos Wilhelm A J W, Groenendijk Albert L, Blaauw Marc J T, van Eekeren Louise E, Navas Adriana, Cleophas Maartje C P, Vadaq Nadira, Matzaraki Vasiliki, Dos Santos Jéssica C, Meeder Elise M G, Fröberg Janeri, Weijers Gert, Zhang Yue, Fu Jingyuan, Ter Horst Rob, Bock Christoph, Knoll Rainer, Aschenbrenner Anna C, Schultze Joachim, Vanderkerckhove Linos, Hwandih Talent, Wonderlich Elizabeth R, Vemula Sai V, van der Kolk Mike, de Vet Sterre C P, Blok Willem L, Brinkman Kees, Rokx Casper, Schellekens Arnt F A, de Mast Quirijn, Joosten Leo A B, Berrevoets Marvin A H, Stalenhoef Janneke E, Verbon Annelies, van Lunzen Jan, Netea Mihai G, van der Ven Andre J A M
2022
COVID-19, HIV extreme phenotype, HIV reservoir, HIV-1, cardiovascular disease, hepatic disease, multi-omics, non-AIDS comorbidities
Improved predictions of antigen presentation and TCR recognition with MixMHCpred2.2 and PRIME2.0 reveal potent SARS-CoV-2 CD8+ T-cell epitopes.
In Cell systems
Gfeller David, Schmidt Julien, Croce Giancarlo, Guillaume Philippe, Bobisse Sara, Genolet Raphael, Queiroz Lise, Cesbron Julien, Racle Julien, Harari Alexandre
2022-Dec-23
CD8(+) T cell epitopes, HLA-I peptidomics, antigen presentation, computational biology, epitope predictions, immunology, machine learning
Analysis and forecasting of air quality index based on satellite data.
In Inhalation toxicology
OBJECTIVE :
MATERIALS AND METHODS :
RESULTS :
CONCLUSIONS :
Singh Tinku, Sharma Nikhil, Satakshi Kumar
2023-Jan-05
Google Earth Engine (GEE), beta distribution, pollutants, remote sensing, satellite data
Development and validation of a deep learning model to diagnose COVID-19 using time-series heart rate values before the onset of symptoms.
In Journal of medical virology
Chung Heewon, Ko Hoon, Lee Hooseok, Yon Dong Keon, Lee Won Hee, Kim Tae-Seong, Kim Kyung Won, Lee Jinseok
2023-Jan-05
COVID-19, deep learning, early diagnosis, heart rate, heart rate variability, smartwatch, transformer model

Single-cell multi-omics integration for unpaired data by a siamese network with graph-based contrastive loss.
In BMC bioinformatics
BACKGROUND :
RESULTS :
CONCLUSIONS :
Liu Chaozhong, Wang Linhua, Liu Zhandong
2023-Jan-04
COVID-19, Data integration, Deep learning, Single-cell sequencing analysis

Neurophenotypes of COVID-19: risk factors and recovery trajectories.
In Research square
Prabhakaran Divya, Day Gregory, Munipalli Bala, Rush Beth, Pudalov Lauren, Niazi Shehzad, Brennan Emily, Powers Harry, Durvasula Ravi, Athreya Arjun, Blackmon Karen
2022-Dec-21

A machine learning-based phenotype for long COVID in children: an EHR-based study from the RECOVER program.
In medRxiv : the preprint server for health sciences
BACKGROUND :
METHODS AND FINDINGS :
CONCLUSIONS :
FUNDING SOURCE :
DISCLAIMER :
Lorman Vitaly, Razzaghi Hanieh, Song Xing, Morse Keith, Utidjian Levon, Allen Andrea J, Rao Suchitra, Rogerson Colin, Bennett Tellen D, Morizono Hiroki, Eckrich Daniel, Jhaveri Ravi, Huang Yungui, Ranade Daksha, Pajor Nathan, Lee Grace M, Forrest Christopher B, Bailey L Charles
2022-Dec-26

Diagnostic performance of artificial intelligence algorithms for detection of pulmonary involvement by COVID-19 based on portable radiography.
In Medicina clinica (English ed.)
INTRODUCTION AND OBJECTIVES :
MATERIAL AND METHODS :
RESULTS :
CONCLUSION :
Cobeñas Ricardo Luis, de Vedia María, Florez Juan, Jaramillo Daniela, Ferrari Luciana, Re Ricardo
2022-Dec-30
Artificial intelligence, COVID-19, Lung, Machine learning, Pneumonia, Thoracic RX

Fill in the blank for fashion complementary outfit product Retrieval: VISUM summer school competition.
In Machine vision and applications
Castro Eduardo, Ferreira Pedro M, Rebelo Ana, Rio-Torto Isabel, Capozzi Leonardo, Ferreira Mafalda Falcão, Gonçalves Tiago, Albuquerque Tomé, Silva Wilson, Afonso Carolina, Gamelas Sousa Ricardo, Cimarelli Claudio, Daoudi Nadia, Moreira Gabriel, Yang Hsiu-Yu, Hrga Ingrid, Ahmad Javed, Keswani Monish, Beco Sofia
2023
Computer vision, Deep learning, Fashion intelligence, Image retrieval, Summer school competition

Identification of Asymptomatic COVID-19 Patients on Chest CT Images Using Transformer-Based or Convolutional Neural Network-Based Deep Learning Models.
In Journal of digital imaging
Yin Minyue, Liang Xiaolong, Wang Zilan, Zhou Yijia, He Yu, Xue Yuhan, Gao Jingwen, Lin Jiaxi, Yu Chenyan, Liu Lu, Liu Xiaolin, Xu Chao, Zhu Jinzhou
2023-Jan-03
Asymptomatic coronavirus-disease-2019 patients, Chest CT images, Convolutional neural networks, Deep learning, Transfer learning, Transformer
Cluster analysis of adults unvaccinated for COVID-19 based on behavioral and social factors, National Immunization Survey-Adult COVID Module, United States.
In Preventive medicine ; h5-index 62.0
Meng Lu, Masters Nina B, Lu Peng-Jun, Singleton James A, Kriss Jennifer L, Zhou Tianyi, Weiss Debora, Black Carla L
2022-Dec-31
COVID-19 vaccines, Cluster analysis, Health communication, Health policy, SARS-CoV-2, Vaccine hesitancy

Investigating mental health outcomes of undergraduates and graduate students in Taiwan during the COVID-19 pandemic.
In Journal of American college health : J of ACH
Lin Ching-Hui, Lin Szu-Yin, Hu Bo-Hsien, Lo C Owen
2023-Jan-03
College students, Covid-19, mental health, postsecondary education

Users' Reactions on Announced Vaccines against COVID-19 Before Marketing in France: Analysis of Twitter posts.
In Journal of medical Internet research ; h5-index 88.0
BACKGROUND :
OBJECTIVE :
METHODS :
RESULTS :
CONCLUSIONS :
Dupuy-Zini Alexandre, Audeh Bissan, Gérardin Christel, Duclos Catherine, Gagneux-Brunon Amandine, Bousquet Cedric
2022-Aug-09

Weighted power Maxwell distribution: Statistical inference and COVID-19 applications.
In PloS one ; h5-index 176.0
Almuqrin Muqrin A, Almutlak Salemah A, Gemeay Ahmed M, Almetwally Ehab M, Karakaya Kadir, Makumi Nicholas, Hussam Eslam, Aldallal Ramy
2023

COVID-19 Detection: A Systematic Review of Machine and Deep Learning-Based Approaches Utilizing Chest X-Rays and CT Scans.
In Cognitive computation
Bhatele Kirti Raj, Jha Anand, Tiwari Devanshu, Bhatele Mukta, Sharma Sneha, Mithora Muktasha R, Singhal Stuti
2022-Dec-29
COVID-19, CT scan, Chest X-ray, Deep transfer learning, Machine learning

Screening of COVID-19 Based on GLCM Features from CT Images Using Machine Learning Classifiers.
In SN computer science
Godbin A Beena, Jasmine S Graceline
2023
COVID-19, Feature extraction, GLCM, LGBM, Machine learning, SVM

Predicting the evolution of COVID-19 mortality risk: A Recurrent Neural Network approach.
In Computer methods and programs in biomedicine update
BACKGROUND :
METHODS :
RESULTS :
CONCLUSIONS :
Villegas Marta, Gonzalez-Agirre Aitor, Gutiérrez-Fandiño Asier, Armengol-Estapé Jordi, Carrino Casimiro Pio, Fernández David Pérez, Soares Felipe, Serrano Pablo, Pedrera Miguel, García Noelia, Valencia Alfonso
2022-Dec-29
COVID-19, Mortality prediction, Recurrent Neural Network, Time series
Predicting emerging SARS-CoV-2 variants of concern through a One Class dynamic anomaly detection algorithm.
In BMJ health & care informatics
OBJECTIVES :
METHODS :
RESULTS :
DISCUSSION :
CONCLUSION :
Nicora Giovanna, Salemi Marco, Marini Simone, Bellazzi Riccardo
2022-Dec
COVID-19, data science, machine learning, public health informatics

Fitness Dependent Optimizer with Neural Networks for COVID-19 patients.
In Computer methods and programs in biomedicine update
Abdulkhaleq Maryam T, Rashid Tarik A, Hassan Bryar A, Alsadoon Abeer, Bacanin Nebojsa, Chhabra Amit, Vimal S
2022-Dec-27
COVID 19, FDO, Fitness Dependent Optimizer, Machine Learning, Swarm Intelligence

A novel deep neural network model based Xception and genetic algorithm for detection of COVID-19 from X-ray images.
In Annals of operations research
Gülmez Burak
2022-Dec-25
COVID-19, Convolutional neural network, Deep learning, Genetic algorithm, Xception

Multi-Objective deep learning framework for COVID-19 dataset problems.
In Journal of King Saud University. Science
BACKGROUND :
METHODS :
RESULTS :
CONCLUSIONS :
Mohammedqasem Roa’a, Mohammedqasim Hayder, Asad Ali Biabani Sardar, Ata Oguz, Alomary Mohammad N, Almehmadi Mazen, Amer Alsairi Ahad, Azam Ansari Mohammad
2022-Dec-28
Artificial intelligence, COVID-19, Deep learning, Hyperparameter optimization, Missing value

Development of CNN-LSTM combinational architecture for COVID-19 detection.
In Journal of ambient intelligence and humanized computing
Narula Abhinav, Vaegae Naveen Kumar
2022-Dec-24
COVID-19, Chest X-ray, Convolution neural network, Deep learning, Image processing, LSTM

Can financial stress be anticipated and explained? Uncovering the hidden pattern using EEMD-LSTM, EEMD-prophet, and XAI methodologies.
In Complex & intelligent systems
Ghosh Indranil, Dragan Pamucar
2022-Dec-26
Ensemble empirical mode decomposition, Explainable artificial intelligence, Facebook’s prophet algorithm, Financial stress, Long short-term memory network, Technical indicators

Cough Audio Analysis for COVID-19 Diagnosis.
In SN computer science
Kapoor Teghdeep, Pandhi Tanya, Gupta Bharat
2023
CNN, COVID-19, COVID-19 preliminary diagnosis, Cough diagnosis, Deep learning, LSTM, MLP, Machine learning, RNN, SVM

Think Twice: First for Tech, Then for Ed.
In SN computer science
Photopoulos Panos, Triantis Dimos
2023
Blended learning, COVID-19, Face-to-face education, Online learning, Technological determinism, Technology driven change

Data Assimilation Predictive GAN (DA-PredGAN) Applied to a Spatio-Temporal Compartmental Model in Epidemiology.
In Journal of scientific computing
Silva Vinicius L S, Heaney Claire E, Li Yaqi, Pain Christopher C
2023
COVID-19, Compartmental model, Data assimilation, Deep learning, Epidemiology, Generative adversarial networks, Reduced-order model, Spatio-temporal prediction

Chest X-Ray Images to Differentiate COVID-19 from Pneumonia with Artificial Intelligence Techniques.
In International journal of biomedical imaging
Islam Rumana, Tarique Mohammed
2022

De novo design of site-specific protein interactions with learned surface fingerprints
bioRxiv Preprint
Gainza, P.; Wehrle, S.; Van Hall-Beauvais, A.; Marchand, A.; Scheck, A.; Harteveld, Z.; Ni, D.; Tan, S.; Sverrisson, F.; Goverde, C.; Turelli, P.; Raclot, C.; Teslenko, A.; Pacesa, M.; Rosset, S.; Buckley, S.; Georgeon, S.; Marsden, J.; Petruzzella, A.; Liu, K.; Xu, Z.; Chai, Y.; Han, P.; Gao, G. F.; Oricchio, E.; Fierz, B.; Trono, D.; Stahlberg, H.; Bronstein, M.; Correia, B. E.
2023-01-03

Biosensors - A Miraculous Detecting Tool in Combating the War against COVID-19.
In Current pharmaceutical biotechnology
Deshmukh Rohitas, Mishra Sakshi, Singh Rajesh
2023-Jan-02
Biosensors, COVID-19, CRISPR-Cas9., SARS-CoV-2, Virus, respiratory, syndrome

A statistical analysis of tweets on covid-19 vaccine hesitancy utilizing opinion mining: an Indian perspective.
In Social network analysis and mining
Verma Ravi, Chhabra Amit, Gupta Ankit
2023
COVID-19 vaccine, Coronavirus, Latent dirichlet allocation (LDA), Natural language processing (NLP), Opinion mining, Sentiment analysis
Did Australia's COVID-19 restrictions impact statin incidence, prevalence or adherence?
In Current problems in cardiology
OBJECTIVE :
METHODS :
RESULTS :
CONCLUSIONS :
Livori Adam C, Lukose Dickson, Bell J Simon, Webb Geoffrey I, Ilomäki Jenni
2022-Dec-28
Statin, cardiology, cardiovascular, drug utilisation, medication adherence

Development and validation of a machine learning-based vocal predictive model for major depressive disorder.
In Journal of affective disorders ; h5-index 79.0
BACKGROUND :
METHODS :
RESULTS :
LIMITATIONS :
CONCLUSIONS :
Wasserzug Yael, Degani Yoav, Bar-Shaked Mili, Binyamin Milana, Klein Amit, Hershko Shani, Levkovitch Yechiel
2022-Dec-28
Depression screening, Machine learning, Predictive analytics, Remote patient monitoring, Speech prosody, Voice analysis

Early prediction of COVID-19 outcome using artificial intelligence techniques and only five laboratory indices.
In Clinical immunology (Orlando, Fla.)
Asteris Panagiotis G, Kokoris Styliani, Gavriilaki Eleni, Tsoukalas Markos Z, Houpas Panagiotis, Paneta Maria, Koutzas Andreas, Argyropoulos Theodoros, Alkayem Nizar Faisal, Armaghani Danial J, Bardhan Abidhan, Cavaleri Liborio, Cao Maosen, Mansouri Iman, Mohammed Ahmed Salih, Samui Pijush, Gerber Gloria, Boumpas Dimitrios T, Tsantes Argyrios, Terpos Evangelos, Dimopoulos Meletios A
2022-Dec-28
Artificial intelligence, Artificial neural networks, COVID-19, Laboratory indices, SARS-CoV2
Interpretable generalized neural additive models for mortality prediction of COVID-19 hospitalized patients in Hamadan, Iran.
In BMC medical research methodology
BACKGROUND :
METHODS :
RESULTS :
CONCLUSIONS :
Moslehi Samad, Mahjub Hossein, Farhadian Maryam, Soltanian Ali Reza, Mamani Mojgan
2022-Dec-31
COVID-19, Feature selection, Generalized neural additive, Laboratory markers, Machine learning, Prediction

Student adaptation to college and coping in relation to adjustment during COVID-19: A machine learning approach.
In PloS one ; h5-index 176.0
Zhao Yijun, Ding Yi, Chekired Hayet, Wu Ying
2022

Testing the Acceptability and Usability of an AI-Enabled COVID-19 Diagnostic Tool Among Diverse Adult Populations in the United States.
In Quality management in health care
BACKGROUND AND OBJECTIVES :
METHODS :
RESULTS :
CONCLUSION :
Schilling Josh, Moeller F Gerard, Peterson Rachele, Beltz Brandon, Joshi Deepti, Gartner Danielle, Vang Jee, Jain Praduman
COVID-19 Diagnosis on Chest Radiograph Using Artificial Intelligence.
In Cureus
BACKGROUND :
MATERIALS AND METHODS :
RESULTS :
CONCLUSION :
Baruah Dhiraj, Runge Louis, Jones Richard H, Collins Heather R, Kabakus Ismail M, McBee Morgan P
2022-Nov
artificial intelligence, chest radiography, covid, receiver operating characteristic (roc) analysis, rt-pcr

The role of artificial intelligence technology in the care of diabetic foot ulcers: the past, the present, and the future.
In World journal of diabetes ; h5-index 53.0
Pappachan Joseph M, Cassidy Bill, Fernandez Cornelius James, Chandrabalan Vishnu, Yap Moi Hoon
2022-Dec-15
Artificial intelligence technology, COVID-19 pandemic, Diabetic foot ulcers, Digital photography, Mobile app, Photographic monitoring

What factors can support students' deep learning in the online environment: The mediating role of learning self-efficacy and positive academic emotions?
In Frontiers in psychology ; h5-index 92.0
INTRODUCTION :
METHODS :
RESULTS :
DISCUSSION :
Zhao Jingxian, Liu Enyun
2022
deep learning, learning self-efficacy, perceived TPACK support, perceived peer support, perceived technical usefulness and ease of use, positive academic emotions

A machine learning approach for predicting high risk hospitalized patients with COVID-19 SARS-Cov-2.
In BMC medical informatics and decision making ; h5-index 38.0
BACKGROUND :
METHODS :
RESULTS :
CONCLUSIONS :
Bottrighi Alessio, Pennisi Marzio, Roveta Annalisa, Massarino Costanza, Cassinari Antonella, Betti Marta, Bolgeo Tatiana, Bertolotti Marinella, Rava Emanuele, Maconi Antonio
2022-Dec-28
COVID-19, Explainability, Machine learning, Patient risk prediction

Emerging Dominant SARS-CoV-2 Variants.
In Journal of chemical information and modeling
Chen Jiahui, Wang Rui, Hozumi Yuta, Liu Gengzhuo, Qiu Yuchi, Wei Xiaoqi, Wei Guo-Wei
2022-Dec-28

Accurate and fast clade assignment via deep learning and frequency chaos game representation.
In GigaScience
BACKGROUND :
RESULTS :
CONCLUSIONS :
AVAILABILITY :
Avila Cartes Jorge, Anand Santosh, Ciccolella Simone, Bonizzoni Paola, Della Vedova Gianluca
2022-Dec-28
, GISAID clades, SARS-CoV-2, chaos game representation, classification of genome sequences, convolutional neural networks, deep learning

Multi-horizon predictive models for guiding extracorporeal resource allocation in critically ill COVID-19 patients.
In Journal of the American Medical Informatics Association : JAMIA
OBJECTIVE :
MATERIAL AND METHODS :
RESULTS :
DISCUSSION AND CONCLUSION :
Xue Bing, Shah Neel, Yang Hanqing, Kannampallil Thomas, Payne Philip Richard Orrin, Lu Chenyang, Said Ahmed Sameh
2022-Dec-28
COVID-19, ECMO, early alert, machine learning, prediction, resource allocation

Towards a soft three-level voting model (Soft T-LVM) for fake news detection.
In Journal of intelligent information systems
Jlifi Boutheina, Sakrani Chayma, Duvallet Claude
2022-Dec-23
COVID-19., Ensemble learning models, Fake news detection, Machine learning algorithms, Natural Language Processing (NLP), Social media

AI Assisted Attention Mechanism for Hybrid Neural Model to Assess Online Attitudes About COVID-19.
In Neural processing letters
Kour Harnain, Gupta Manoj K
2022-Dec-23
BERT, COVID-19, LSTM, Sentiment analysis, Transfer learning, Tweets

Enhancing the classification metrics of spectroscopy spectrums using neural network based low dimensional space.
In Earth science informatics
Yousuff Mohamed, Babu Rajasekhara
2022-Dec-23
COVID-19, Chemometrics, Dimensionality reduction, Machine learning, Random Forest, Spectroscopy

A robust deep learning platform to predict CD8+ T-cell epitopes
bioRxiv Preprint
Lee, C. H.-J.; Huh, J.; Buckley, P. R.; Jang, M. J.; Pereira Pinho, M.; Fernandes, R.; Antanaviciute, A.; Simmons, A.; Koohy, H.
2022-12-29
Prevalence of Asymptomatic SARS-CoV-2 Infection in Japan.
In JAMA network open
IMPORTANCE :
OBJECTIVE :
DESIGN, SETTING, AND PARTICIPANTS :
MAIN OUTCOMES AND MEASURES :
RESULTS :
CONCLUSIONS AND RELEVANCE :
Suzuki Toru, Aizawa Kenichi, Shibuya Kenji, Yamanaka Shinya, Anzai Yuichiro, Kurokawa Kiyoshi, Nagai Ryozo
2022-Dec-01
Depression and anxiety on Twitter during the COVID-19 stay-at-home period in seven major US cities.
In AJPM focus
INTRODUCTION :
METHODS :
RESULTS :
CONCLUSIONS :
Levanti Danielle, Monastero Rebecca N, Zamani Mohammadzaman, Eichstaedt Johannes C, Giorgi Salvatore, Schwartz H Andrew, Meliker Jaymie R
2022-Dec-22
coronavirus, mental health, social media, stay-at-home order
Assessing Trustworthy AI in Times of COVID-19: Deep Learning for Predicting a Multiregional Score Conveying the Degree of Lung Compromise in COVID-19 Patients.
In IEEE transactions on technology and society
Allahabadi Himanshi, Amann Julia, Balot Isabelle, Beretta Andrea, Binkley Charles, Bozenhard Jonas, Bruneault Frederick, Brusseau James, Candemir Sema, Cappellini Luca Alessandro, Chakraborty Subrata, Cherciu Nicoleta, Cociancig Christina, Coffee Megan, Ek Irene, Espinosa-Leal Leonardo, Farina Davide, Fieux-Castagnet Genevieve, Frauenfelder Thomas, Gallucci Alessio, Giuliani Guya, Golda Adam, van Halem Irmhild, Hildt Elisabeth, Holm Sune, Kararigas Georgios, Krier Sebastien A, Kuhne Ulrich, Lizzi Francesca, Madai Vince I, Markus Aniek F, Masis Serg, Mathez Emilie Wiinblad, Mureddu Francesco, Neri Emanuele, Osika Walter, Ozols Matiss, Panigutti Cecilia, Parent Brendan, Pratesi Francesca, Moreno-Sanchez Pedro A, Sartor Giovanni, Savardi Mattia, Signoroni Alberto, Sormunen Hanna-Maria, Spezzatti Andy, Srivastava Adarsh, Stephansen Annette F, Theng Lau Bee, Tithi Jesmin Jahan, Tuominen Jarno, Umbrello Steven, Vaccher Filippo, Vetter Dennis, Westerlund Magnus, Wurth Renee, Zicari Roberto V
2022-Dec
Artificial intelligence, COVID-19, Z-Inspection®, case study, ethical tradeoff, ethics, explainable AI, healthcare, pandemic, radiology, trust, trustworthy AI

Automatic cough detection from realistic audio recordings using C-BiLSTM with boundary regression.
In Biomedical signal processing and control
You Mingyu, Wang Weihao, Li You, Liu Jiaming, Xu Xianghuai, Qiu Zhongmin
2022-Feb
BiLSTM, Boundary regression, C-BiLSTM, Cough detection, Deep learning

Impact of COVID-19 pandemic on oil consumption in the United States: A new estimation approach.
In Energy (Oxford, England)
Wang Qiang, Li Shuyu, Zhang Min, Li Rongrong
2022-Jan-15
COVID-19, Pandemic-free scenario, Simulation, U.S. petroleum

Visualizing the historical COVID-19 shock in the US airline industry: A Data Mining approach for dynamic market surveillance.
In Journal of air transport management
Pérez-Campuzano Darío, Rubio Andrada Luis, Morcillo Ortega Patricio, López-Lázaro Antonio
2022-Jun
Airlines, COVID-19, Data mining (DM), K-means, Self-organizing map (SOM), Unsupervised learning

Chang impact analysis of level 3 COVID-19 alert on air pollution indicators using artificial neural network.
In Ecological informatics
Lin Guan-Yu, Chen Wei-Yea, Chieh Shao-Heng, Yang Yi-Tsung
2022-Jul
And SO42− prediction, Artificial neural network, Level 3 COVID-19 alert, Meteorological effect factors, NO3−, NOx, O3

Covid-19 Diagnosis by WE-SAJ.
In Systems science & control engineering
Wang Wei, Zhang Xin, Wang Shui-Hua, Zhang Yu-Dong
2022-Dec-31
COVID-19, Deep Learning, Diagnosis, Jaya, Self-adaptive Jaya, Wavelet Entropy

Optimizing deep neural networks to predict the effect of social distancing on COVID-19 spread.
In Computers & industrial engineering
Liu Dixizi, Ding Weiping, Dong Zhijie Sasha, Pedrycz Witold
2022-Apr
COVID-19 Pandemic, Deep Neural Network, Evolutionary Algorithm, Generalized Opposition-Based Learning, Particle Swarm Optimization, Social Distancing

Modeling the social influence of COVID-19 via personalized propagation with deep learning.
In World wide web
Liu Yufei, Cao Jie, Wu Jia, Pi Dechang
2022-Dec-17
COVID-19, Deep learning, Personalized propagation, Social influence

Forecasting seasonal electricity generation in European countries under Covid-19-induced lockdown using fractional grey prediction models and machine learning methods.
In Applied energy ; h5-index 131.0
Şahin Utkucan, Ballı Serkan, Chen Yan
2021-Nov-15
Covid-19, Electricity generation, Forecasting, Fractional grey model, Machine learning, Seasonal fluctuations

A physiological signal compression approach using optimized Spindle Convolutional Auto-encoder in mHealth applications.
In Biomedical signal processing and control
BACKGROUND AND OBJECTIVES :
RESULTS :
CONCLUSION :
Barot Vishal, Patel Dr Ritesh
2022-Mar
Data compression, Energy efficiency, Physiological signal compression, Spindle Convolutional Auto-encoder, mHealth applications

Techniques for Developing Reliable Machine Learning Classifiers Applied to Understanding and Predicting Protein:Protein Interaction Hot Spots
bioRxiv Preprint
Chen, J.; Kuhn, L. A.; Raschka, S.
2022-12-27

A comparative bibliometric analysis of Omicron and Delta variants during the COVID-19 pandemic.
In Annals of palliative medicine ; h5-index 20.0
BACKGROUND :
METHODS :
RESULTS :
CONCLUSIONS :
Liu Yang-Xi, Wang Li-Hui, Zhu Cheng, Zha Qiong-Fang, Yu Yue-Tian
2022-Dec-14
Bibliometric analysis, Delta variant, Omicron variant, coronavirus disease (COVID), research trends

PSTCNN: Explainable COVID-19 diagnosis using PSO-guided self-tuning CNN.
In Biocell : official journal of the Sociedades Latinoamericanas de Microscopia Electronica ... et. al
Wang Wei, Pei Yanrong, Wang Shui-Hua, Gorrz Juan Manuel, Zhang Yu-Dong
2023
COVID-19, Convolutional Neural Network, Hyperparameters Tuning, Particle Swarm Optimisation, SARS-CoV-2

Biphasic majority voting-based comparative COVID-19 diagnosis using chest X-ray images.
In Expert systems with applications
Sunnetci Kubilay Muhammed, Alkan Ahmet
2023-Apr-15
Bag of features, COVID-19, Deep learning, Machine learning, Majority voting

Post-pandemic healthcare for COVID-19 vaccine: Tissue-aware diagnosis of cervical lymphadenopathy via multi-modal ultrasound semantic segmentation.
In Applied soft computing
Gao Yue, Fu Xiangling, Chen Yuepeng, Guo Chenyi, Wu Ji
2023-Jan
Attention mechanism, COVID-19, Cervical lymphadenopathy, Computer-aided diagnosis, Healthcare administration, Human-in-the-loop, Image classification, Multi-modal, Semantic segmentation

On the improvement of heart rate prediction using the combination of singular spectrum analysis and copula-based analysis approach.
In PeerJ
Namazi Asieh
2022
Artificial intelligence, Heart rate, Machine learning, Prediction, Wearable sensors

Predicting Risk of Mortality in COVID-19 Hospitalized Patients using Hybrid Machine Learning Algorithms.
In Journal of biomedical physics & engineering
BACKGROUND :
OBJECTIVE :
MATERIAL AND METHODS :
RESULTS :
CONCLUSION :
Afrash Mohammad Reza, Shanbehzadeh Mostafa, Kazemi-Arpanahi Hadi
2022-Dec
** Artificial Intelligence, Coronavirus (COVID-19), Data Mining, Machine Learning, Mortality**

Prediction of COVID-19 Patients' Survival by Deep Learning Approaches.
In Medical journal of the Islamic Republic of Iran
Taheriyan Moloud, Ayyoubzadeh Seyed Mehdi, Ebrahimi Mehdi, R Niakan Kalhori Sharareh, Abooei Amir Hossien, Gholamzadeh Marsa, Ayyoubzadeh Seyed Mohammad
2022
COVID-19, Deep Learning, Prediction, Survival Analysis, Triage

On sparse ensemble methods: An application to short-term predictions of the evolution of COVID-19.
In European journal of operational research
Benítez-Peña Sandra, Carrizosa Emilio, Guerrero Vanesa, Jiménez-Gamero M Dolores, Martín-Barragán Belén, Molero-Río Cristina, Ramírez-Cobo Pepa, Romero Morales Dolores, Sillero-Denamiel M Remedios
2021-Dec-01
COVID-19, Ensemble Method, Machine Learning, Mathematical Optimization, Selective Sparsity

Optimism and pessimism analysis using deep learning on COVID-19 related twitter conversations.
In Information processing & management
Blanco Guillermo, Lourenço Anália
2022-May
Conversation, Covid-19 pandemic, Emotion classification, Emotion shift, Sociome

A deep learning based steganography integration framework for ad-hoc cloud computing data security augmentation using the V-BOINC system.
In Journal of cloud computing (Heidelberg, Germany)
Mawgoud Ahmed A, Taha Mohamed Hamed N, Abu-Talleb Amr, Kotb Amira
2022
Ad-hoc system, Cloud computing, Cloud security, Deep learning, Encryption, Steganography

Interpretable artificial intelligence model for accurate identification of medical conditions using immune repertoire.
In Briefings in bioinformatics
Zhao Yu, He Bing, Xu Zhimeng, Zhang Yidan, Zhao Xuan, Huang Zhi-An, Yang Fan, Wang Liang, Duan Lei, Song Jiangning, Yao Jianhua
2022-Dec-24
COVID-19, TCR repertoire, artificial intelligence, diagnosis, prognosis

New advances in prediction and surveillance of preeclampsia: role of machine learning approaches and remote monitoring.
In Archives of gynecology and obstetrics ; h5-index 44.0
Hackelöer Max, Schmidt Leon, Verlohren Stefan
2022-Dec-25
Angiogenic factors, Artificial intelligence, Decision trees, Hypertensive pregnancy disorders, Machine learning, Multivariable modeling, Preeclampsia, Remote monitoring

Comparing Short-Term Univariate and Multivariate Time-Series Forecasting Models in Infectious Disease Outbreak.
In Bulletin of mathematical biology
Assad Daniel Bouzon Nagem, Cara Javier, Ortega-Mier Miguel
2022-Dec-24
COVID-19, Forecasting, Multivariate approach, Outbreak disease, Univariate approach

Measuring daily-life fear perception change: A computational study in the context of COVID-19.
In PloS one ; h5-index 176.0
Chai Yuchen, Palacios Juan, Wang Jianghao, Fan Yichun, Zheng Siqi
2022

Interactive framework for Covid-19 detection and segmentation with feedback facility for dynamically improved accuracy and trust.
In PloS one ; h5-index 176.0
Sailunaz Kashfia, Bestepe Deniz, Özyer Tansel, Rokne Jon, Alhajj Reda
2022

The effects of department of Veterans Affairs medical centers on socio-economic outcomes: Evidence from the Paycheck Protection Program.
In PloS one ; h5-index 176.0
Makridis Christos A, Kelly J D, Alterovitz Gil
2022

Disease Recognition in X-ray Images with Doctor Consultation-Inspired Model.
In Journal of imaging
Phung Kim Anh, Nguyen Thuan Trong, Wangad Nileshkumar, Baraheem Samah, Vo Nguyen D, Nguyen Khang
2022-Dec-05
disease recognition, doctor consultation-inspired, medical image processing

COVID-19 Outcome Prediction by Integrating Clinical and Metabolic Data using Machine Learning Algorithms.
In Revista de investigacion clinica; organo del Hospital de Enfermedades de la Nutricion
BACKGROUND :
OBJECTIVES :
METHODS :
RESULTS :
CONCLUSIONS :
Villagrana-Bañuelos Karen E, Maeda-Gutiérrez Valeria, Alcalá-Rmz Vanessa, Oropeza-Valdez Juan J, Herrera-Van Oostdam Ana S, Castañeda-Delgado Julio E, López Jesús Adrián, Borrego Moreno Juan C, Galván-Tejada Carlos E, Galván-Tejeda Jorge I, Gamboa-Rosales Hamurabi, Luna-García Huizilopoztli, Celaya-Padilla José M, López-Hernández Yamilé
2022
Biomarker, COVID-19, Genetic algorithm, LC-MS, Machine learning, Metabolomics, Random forest

The role of advanced technologies against COVID-19: Prevention, Detection, and Treatments.
In Current stem cell research & therapy
Hasanzadeh Elham, Rafati Adele, Tamijani Seyedeh Masoumeh Seyed Hosseini, Rafaiee Raheleh, Golchin Ali, Abasi Mozhgan
2022-Dec-21
Artificial intelligence, COVID-19, Nanotechnology, Nerve stimulation, Stem cell therapy, Tissue engineering

Physical fitness changes in adolescents due to social distancing during the coronavirus disease pandemic in Korea.
In PeerJ
BACKGROUND :
METHODS :
RESULTS :
CONCLUSIONS :
Lee Kwang-Jin, Seon Se-Young, Noh Byungjoo, An Keun-Ok
2022
Middle school students, Physical activity, Physical fitness level
Mediating Role of Fine Particles Abatement on Pediatric Respiratory Health During COVID-19 Stay-at-Home Order in San Diego County, California.
In GeoHealth
Aguilera Rosana, Leibel Sydney, Corringham Thomas, Bialostozky Mario, Nguyen Margaret B, Gershunov Alexander, Benmarhnia Tarik
2022-Sep

Drug repositioning for SARS-CoV-2 by Gaussian kernel similarity bilinear matrix factorization.
In Frontiers in microbiology
Wang Yibai, Xiang Ju, Liu Cuicui, Tang Min, Hou Rui, Bao Meihua, Tian Geng, He Jianjun, He Binsheng
2022
SARS-CoV-2, bilinear matrix factorization, drug repositioning, machine learning, molecular docking

Artificial Neural Networks for the Prediction of Monkeypox Outbreak.
In Tropical medicine and infectious disease
Manohar Balakrishnama, Das Raja
2022-Dec-08
COVID-19, Hessian matrix, K-fold cross-validation, Levenberg–Marquardt model, machine learning, regression analysis, sigmoid function

Artificial Neural Networks for the Prediction of Monkeypox Outbreak.
In Tropical medicine and infectious disease
Manohar Balakrishnama, Das Raja
2022-Dec-08
COVID-19, Hessian matrix, K-fold cross-validation, Levenberg–Marquardt model, machine learning, regression analysis, sigmoid function

Prediction and assessment of the impact of COVID-19 lockdown on air quality over Kolkata: a deep transfer learning approach.
In Environmental monitoring and assessment
Dutta Debashree, Pal Sankar K
2022-Dec-22
Air quality, Bidirectional LSTM, COVID-19, Deep learning, Lockdown, PM10, PM2.5, Random forest, Transfer learning

Maimuna (Maia) Majumder.
In Cell reports. Medicine
**
2022-Dec-20

Improving COVID-19 CT classification of CNNs by learning parameter-efficient representation.
In Computers in biology and medicine
Xu Yujia, Lam Hak-Keung, Jia Guangyu, Jiang Jian, Liao Junkai, Bao Xinqi
2022-Dec-15
CNNs, COVID-19, Computed tomography, Deep learning, Similarity regularization

Evaluation of shelter dog activity levels before and during COVID-19 using automated analysis.
In Applied animal behaviour science ; h5-index 32.0
Byosiere Sarah-Elizabeth, Feighelstein Marcelo, Wilson Kristiina, Abrams Jennifer, Elad Guy, Farhat Nareed, van der Linden Dirk, Kaplun Dmitrii, Sinitca Aleksandr, Zamansky Anna
2022-May
Applied behavior, COVID-19, Computer vision, Dog behavior, Machine learning, Shelter research

Reliability of crowdsourced data and patient-reported outcome measures in cough-based COVID-19 screening.
In Scientific reports ; h5-index 158.0
Xiong Hao, Berkovsky Shlomo, Kâafar Mohamed Ali, Jaffe Adam, Coiera Enrico, Sharan Roneel V
2022-Dec-20

Dementia Analytics Research User Group (DARUG) - A Model for meaningful stakeholder engagement in dementia research.
In Alzheimer's & dementia : the journal of the Alzheimer's Association
BACKGROUND :
METHOD :
RESULTS :
CONCLUSION :
Carlin Paul, Wallace Jonathan, Moore Adrian, Hughes Catherine, Black Michaela, Rankin Deborah, Hoey Leane, McNulty Helene
2022-Dec

Drug development process and COVID-19 pandemic: Flourishing era of outsourcing.
In Indian journal of pharmacology
Wasan Himika, Singh Devendra, Reeta K H, Gupta Pooja, Gupta Yogendra Kumar
2022
Artificial intelligence, COVID-19, contract research organizations, drug development, outsourcing

D-Cov19Net: A DNN based COVID-19 detection system using lung sound.
In Journal of computational science
Chatterjee Sukanya, Roychowdhury Jishnu, Dey Anilesh
2022-Dec-15
Auto-diagnosis system, COVID-19 Detection, Convolution Neural Network (CNN), Deep Learning, Lung/Respiratory sound

A residual network-based framework for COVID-19 detection from CXR images.
In Neural computing & applications
Kibriya Hareem, Amin Rashid
2022-Dec-15
COVID-19, CXR images, Machine learning, ResNet50, SVM

TransMUSE: Transferable Traffic Prediction in MUlti-Service Edge Networks.
In Computer networks
Xu Luyang, Liu Haoyu, Song Junping, Li Rui, Hu Yahui, Zhou Xu, Patras Paul
2023-Feb
Edge model transfer, Multi-service traffic prediction, Service clustering

A multi-task fully deep convolutional neural network for contactless fingerprint minutiae extraction.
In Pattern recognition
Zhang Zhao, Liu Shuxin, Liu Manhua
2021-Dec
00-01, 99-00, Contactless fingerprint, Deep convolutional neural network, Minutiae extraction, Multi-task learning

Altered somatic hypermutation patterns in COVID-19 patients classifies disease severity
bioRxiv Preprint
Safra, M.; Tamari, Z.; Polak, P.; Shiber, S.; Matan, M.; Karameh, H.; Helviz, Y.; Levy-Barda, A.; Yahalom, V.; Peretz, A.; Ben-Chetrit, E.; Brenner, B.; Tuller, T.; Gal-Tanamy, M.; Yaari, G.
2022-12-21

Predicting oxygen requirements in patients with coronavirus disease 2019 using an artificial intelligence-clinician model based on local non-image data.
In Frontiers in medicine
BACKGROUND :
MATERIALS AND METHODS :
RESULTS :
CONCLUSION :
Muto Reiko, Fukuta Shigeki, Watanabe Tetsuo, Shindo Yuichiro, Kanemitsu Yoshihiro, Kajikawa Shigehisa, Yonezawa Toshiyuki, Inoue Takahiro, Ichihashi Takuji, Shiratori Yoshimune, Maruyama Shoichi
2022
COVID-19, artificial intelligence-human collaboration, clinical practice, oxygen needs, sodium chloride difference
An NLP tool for data extraction from electronic health records: COVID-19 mortalities and comorbidities.
In Frontiers in public health
BACKGROUND :
METHOD :
RESULTS :
CONCLUSION :
BuHamra Sana S, Almutairi Abdullah N, Buhamrah Abdullah K, Almadani Sabah H, Alibrahim Yusuf A
2022
SARS-CoV-2, decision tree, information extraction, mortality, natural language processing, prediction, text mining
Can a chatbot enhance hazard awareness in the construction industry?
In Frontiers in public health
Zhu Xiaoe, Li Rita Yi Man, Crabbe M James C, Sukpascharoen Khunanan
2022
chatbot safety training, construction hazard awareness, construction practitioners, design of experiment, eye-tracking

An artificial neural network classification method employing longitudinally monitored immune biomarkers to predict the clinical outcome of critically ill COVID-19 patients.
In PeerJ
BACKGROUND :
METHODS :
RESULTS :
CONCLUSIONS :
Martinez Gustavo, Garduno Alexis, Mahmud-Al-Rafat Abdullah, Ostadgavahi Ali Toloue, Avery Ann, de Avila E Silva Scheila, Cusack Rachael, Cameron Cheryl, Cameron Mark, Martin-Loeches Ignacio, Kelvin David
2022
Artificial Neural Networks, Biomarkers, Classification, Deep learning, Immunology

COVID-19 spread control policies based early dynamics forecasting using deep learning algorithm.
In Chaos, solitons, and fractals
Ali Furqan, Ullah Farman, Khan Junaid Iqbal, Khan Jebran, Sardar Abdul Wasay, Lee Sungchang
2022-Dec-13
COVID-19, Deep Learning, Forecasting, Long short-term memory, Pandemic, Stacked Bi-LSTM, Time series
Use of AI to assess COVID-19 variant impacts on hospitalization, ICU, and death.
In Frontiers in artificial intelligence
Hilal Waleed, Chislett Michael G, Snider Brett, McBean Edward A, Yawney John, Gadsden S Andrew
2022
COVID-19, Delta variant, Omicron variant, XGBoost, healthcare, hospitalization, medical risk factors

A survey of COVID-19 detection and prediction approaches using mobile devices, AI, and telemedicine.
In Frontiers in artificial intelligence
Shen John, Ghatti Siddharth, Levkov Nate Ryan, Shen Haiying, Sen Tanmoy, Rheuban Karen, Enfield Kyle, Facteau Nikki Reyer, Engel Gina, Dowdell Kim
2022
AI, COVID-19 detection, IoT, mobile devices, telemedicine

COVID-19 and human development: An approach for classification of HDI with deep CNN.
In Biomedical signal processing and control
Kavuran Gürkan, Gökhan Şeyma, Yeroğlu Celaleddin
2023-Mar
Artificial intelligence, COVID-19, Classification, Continuous wavelet transform, Deep learning, Human Development Index

The design of compounds with desirable properties - The anti-HIV case study.
In Journal of computational chemistry
Novak Jurica, Pathak Prateek, Grishina Maria A, Potemkin Vladimir A
2022-Dec-19
3CLpro, HIV-1 protease, QSAR, cytotoxicity, drug repurposing

Does media sentiment affect stock prices? Evidence from China's STAR market.
In Frontiers in psychology ; h5-index 92.0
OBJECTIVE :
METHODS :
RESULTS :
DISCUSSION :
Dong Xiuliang, Xu Shiying, Liu Jianing, Tsai Fu-Sheng
2022
IPO first-day stock performance, IPO pricing efficiency, machine learning, media sentiment, stock price, the STAR market

Research on the state of blended learning among college students - A mixed-method approach.
In Frontiers in psychology ; h5-index 92.0
Deng Chao, Peng Jiao, Li ShuFei
2022
TAM 3, blended learning, learner engagement theory, student engagement, technology acceptance

Intelligent lead-based bidirectional long short term memory for COVID-19 sentiment analysis.
In Social network analysis and mining
Kumari Santoshi, Pushphavathi T P
2023
COVID-19, Deep learning, LSTM, Optimization, Sentiment analysis

Deep features to detect pulmonary abnormalities in chest X-rays due to infectious diseaseX: Covid-19, pneumonia, and tuberculosis.
In Information sciences
Mahbub Md Kawsher, Biswas Milon, Gaur Loveleen, Alenezi Fayadh, Santosh K C
2022-May
ACC, Accuracy, AI, Artificial Intelligence, AUC, Area Under the Curve, CADx, Computer-Aided Diagnosis, CNN, Convolutional Neural Network, CT, Computed Tomography, CXR, Chest X-ray, Chest X-ray, Covid-19, DL, Deep Learning, DNN, DNN, Deep Neural Network, Infectious DiseaseX, ML, Machine Learning, MTB, Mycobacterium Tuberculosis, Medical imaging, NN, Neural Network, Pneumonia, SEN, Sensitivity, SPEC, Specificity, TB, Tuberculosis, Tuberculosis, WHO, World Health Organization
An efficient approach to identifying anti-government sentiment on Twitter during Michigan protests.
In PeerJ. Computer science
Nguyen Hieu, Gokhale Swapna
2022
Anti-government, COVID-19, Lockdown protests, Machine Learning, Social media

Multi-label multi-class COVID-19 Arabic Twitter dataset with fine-grained misinformation and situational information annotations.
In PeerJ. Computer science
Obeidat Rasha, Gharaibeh Maram, Abdullah Malak, Alharahsheh Yara
2022
BERT, COVID-19, Data annotation, Data collection, Deep learning, Fake news, Machine learning, Misinformation detection, Situational information, Transformers

Machine Learning and Deep Learning Based Time Series Prediction and Forecasting of Ten Nations' COVID-19 Pandemic.
In SN computer science
Kumar Yogesh, Koul Apeksha, Kaur Sukhpreet, Hu Yu-Chen
2023
COVID-19, Facebook Prophet, Holt model, Prediction, RANSAC regressor, Random forest regressor, Stacked gated recurrent units, Stacked long short-term memory, XG Boost

A Precise Method to Detect Post-COVID-19 Pulmonary Fibrosis Through Extreme Gradient Boosting.
In SN computer science
Jha Manika, Gupta Richa, Saxena Rajiv
2023
COVID-19, Clinical decision support, Extreme gradient boosting, Machine learning, Medical diagnosis, Pulmonary fibrosis, Tree boosting

LWSNet - a novel deep-learning architecture to segregate Covid-19 and pneumonia from x-ray imagery.
In Multimedia tools and applications
Lasker Asifuzzaman, Ghosh Mridul, Obaidullah Sk Md, Chakraborty Chandan, Roy Kaushik
2022-Dec-03
Chest radiography, Covid-19, Deep neural network, Lung diseases, Pneumonia, Stack ensemble technique

Contactless blood oxygen estimation from face videos: A multi-model fusion method based on deep learning.
In Biomedical signal processing and control
Hu Min, Wu Xia, Wang Xiaohua, Xing Yan, An Ning, Shi Piao
2023-Mar
Coordinate attention, Deep learning, Estimation, Multi-model fusion, Remote photo-plethysmography, Residual network

MIC-Net: A deep network for cross-site segmentation of COVID-19 infection in the fog-assisted IoMT.
In Information sciences
Ding Weiping, Abdel-Basset Mohamed, Hawash Hossam, Pedrycz Witold
2023-Apr
COVID-19, Data Heterogeneity, Deep Learning, Fog Computing, Internet of Medical Things

Multi-objective automatic analysis of lung ultrasound data from COVID-19 patients by means of deep learning and decision trees.
In Applied soft computing
Custode Leonardo Lucio, Mento Federico, Tursi Francesco, Smargiassi Andrea, Inchingolo Riccardo, Perrone Tiziano, Demi Libertario, Iacca Giovanni
2023-Jan
COVID-19, Decision trees, Evolutionary algorithms, Grammatical evolution, Lung ultrasound, Neuro-symbolic artificial intelligence

Single-cell multiomics revealed the dynamics of antigen presentation, immune response and T cell activation in the COVID-19 positive and recovered individuals.
In Frontiers in immunology ; h5-index 100.0
INTRODUCTION :
METHODS :
RESULTS :
DISCUSSION :
Chattopadhyay Partha, Khare Kriti, Kumar Manish, Mishra Pallavi, Anand Alok, Maurya Ranjeet, Gupta Rohit, Sahni Shweta, Gupta Ayushi, Wadhwa Saruchi, Yadav Aanchal, Devi Priti, Tardalkar Kishore, Joshi Meghnad, Sethi Tavpritesh, Pandey Rajesh
2022
COVID-19, T-cell activation, bayesian network model, immune response, recovered COVID-19 individuals, single cell multi-omics
SARS-CoV-2 induces "cytokine storm" hyperinflammatory responses in RA patients through pyroptosis.
In Frontiers in immunology ; h5-index 100.0
BACKGROUND :
METHODS :
RESULTS :
CONCLUSIONS :
Zheng Qingcong, Lin Rongjie, Chen Yuchao, Lv Qi, Zhang Jin, Zhai Jingbo, Xu Weihong, Wang Wanming
2022
COVID-19, SARS-CoV-2, caspase-1, minocycline, pyroptosis, rheumatoid arthritis

Integrated bioinformatics to identify potential key biomarkers for COVID-19-related chronic urticaria.
In Frontiers in immunology ; h5-index 100.0
BACKGROUND :
METHODS :
RESULTS :
CONCLUSIONS :
Zhang Teng, Feng Hao, Zou Xiaoyan, Peng Shixiong
2022
COVID-19, bioinformatics, biomarker, chronic Urticaria (CU), immunology

COVID vaccine stigma: detecting stigma across social media platforms with computational model based on deep learning.
In Applied intelligence (Dordrecht, Netherlands)
Straton Nadiya
2022-Dec-07
COVID-19, Deep learning, Social media, Stigma, Vaccine

3D face recognition algorithm based on deep Laplacian pyramid under the normalization of epidemic control.
In Computer communications
Kong Weiyi, You Zhisheng, Lv Xuebin
2022-Dec-13
3D face recognition, Deep learning, Epidemic control, Face reconstruction, Multimodal fusion

COVID-19 health data analysis and personal data preserving: A homomorphic privacy enforcement approach.
In Computer communications
Dhasarathan Chandramohan, Hasan Mohammad Kamrul, Islam Shayla, Abdullah Salwani, Mokhtar Umi Asma, Javed Abdul Rehman, Goundar Sam
2022-Dec-14
Deep learning system, Healthcare, Homomorphic, Privacy metrics, Privacy preserving, Security