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On the prediction of isolation, release, and decease states for COVID-19 patients: A case study in South Korea.
In ISA transactions
Alafif Tarik, Alotaibi Reem, Albassam Ayman, Almudhayyani Abdulelah
2021-Jan-05
COVID-19, Classification, Decease, Decision tree, Isolation, Multinomial logistic regression, Prediction, Random forest, Release

Machine Learning Model For Computational Tracking and Forecasting the COVID-19 Dynamic Propagation.
In IEEE journal of biomedical and health informatics
Serra Ginalber L O, Gomes Daiana Caroline Dos Santos
2021-Jan-15

Distant Domain Transfer Learning for Medical Imaging.
In IEEE journal of biomedical and health informatics
Niu Shuteng, Liu Meryl, Liu Yongxin, Wang Jian, Song Houbing
2021-Jan-15

Learning the language of viral evolution and escape.
In Science (New York, N.Y.)
Hie Brian, Zhong Ellen D, Berger Bonnie, Bryson Bryan
2021-01-15
Patient Journey Map to Improve the Home Isolation Experience of Persons with Mild COVID-19 Symptoms: Design Research for Service Touchpoints of Artificial Intelligence in eHealth.
In JMIR medical informatics ; h5-index 23.0
BACKGROUND :
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He Qian, Du Fei, Simonse Lianne W L
2021-Jan-10

Predicting the intention to use mobile learning during Coronavirus Pandemic through Machine Learning Algorithms.
In JMIR medical education
BACKGROUND :
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CLINICALTRIAL :
Salloum Th Said Abdelrahim, Akour Iman, Alshurideh Nd Muhammad, Al Kurdi Rd Barween, Al Ali Th Amal
2021-Jan-13

Federated Learning used for predicting outcomes in SARS-COV-2 patients.
In Research square
Flores Mona, Dayan Ittai, Roth Holger, Zhong Aoxiao, Harouni Ahmed, Gentili Amilcare, Abidin Anas, Liu Andrew, Costa Anthony, Wood Bradford, Tsai Chien-Sung, Wang Chih-Hung, Hsu Chun-Nan, Lee C K, Ruan Colleen, Xu Daguang, Wu Dufan, Huang Eddie, Kitamura Felipe, Lacey Griffin, Corradi Gustavo César de Antônio, Shin Hao-Hsin, Obinata Hirofumi, Ren Hui, Crane Jason, Tetreault Jesse, Guan Jiahui, Garrett John, Park Jung Gil, Dreyer Keith, Juluru Krishna, Kersten Kristopher, Rockenbach Marcio Aloisio Bezerra Cavalcanti, Linguraru Marius, Haider Masoom, AbdelMaseeh Meena, Rieke Nicola, Damasceno Pablo, Silva Pedro Mario Cruz E, Wang Pochuan, Xu Sheng, Kawano Shuichi, Sriswa Sira, Park Soo Young, Grist Thomas, Buch Varun, Jantarabenjakul Watsamon, Wang Weichung, Tak Won Young, Li Xiang, Lin Xihong, Kwon Fred, Gilbert Fiona, Kaggie Josh, Li Quanzheng, Quraini Abood, Feng Andrew, Priest Andrew, Turkbey Baris, Glicksberg Benjamin, Bizzo Bernardo, Kim Byung Seok, Tor-Diez Carlos, Lee Chia-Cheng, Hsu Chia-Jung, Lin Chin, Lai Chiu-Ling, Hess Christopher, Compas Colin, Bhatia Deepi, Oermann Eric, Leibovitz Evan, Sasaki Hisashi, Mori Hitoshi, Yang Isaac, Sohn Jae Ho, Murthy Krishna Nand Keshava, Fu Li-Chen, de Mendonça Matheus Ribeiro Furtado, Fralick Mike, Kang Min Kyu, Adil Mohammad, Gangai Natalie, Vateekul Peerapon, Elnajjar Pierre, Hickman Sarah, Majumdar Sharmila, McLeod Shelley, Reed Sheridan, Graf Stefan, Harmon Stephanie, Kodama Tatsuya, Puthanakit Thanyawee, Mazzulli Tony, Lavor Vitor de Lima, Rakvongthai Yothin, Lee Yu Rim, Wen Yuhong
2021-Jan-08

Classification and specific primer design for accurate detection of SARS-CoV-2 using deep learning.
In Scientific reports ; h5-index 158.0
Lopez-Rincon Alejandro, Tonda Alberto, Mendoza-Maldonado Lucero, Mulders Daphne G J C, Molenkamp Richard, Perez-Romero Carmina A, Claassen Eric, Garssen Johan, Kraneveld Aletta D
2021-01-13
Artificial intelligence matches subjective severity assessment of pneumonia for prediction of patient outcome and need for mechanical ventilation: a cohort study.
In Scientific reports ; h5-index 158.0
Ebrahimian Shadi, Homayounieh Fatemeh, Rockenbach Marcio A B C, Putha Preetham, Raj Tarun, Dayan Ittai, Bizzo Bernardo C, Buch Varun, Wu Dufan, Kim Kyungsang, Li Quanzheng, Digumarthy Subba R, Kalra Mannudeep K
2021-01-13

Fighting viruses with materials science: Prospects for antivirus surfaces, drug delivery systems and artificial intelligence.
In Dental materials : official publication of the Academy of Dental Materials
OBJECTIVE :
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SIGNIFICANCE :
Rosa Vinicius, Ho Dean, Sabino-Silva Robinson, Siqueira Walter L, Silikas Nikolaos
2021-Jan-10
COVID-19, Coating, Coronavirus, Diagnostic, Infection, Nanomaterial, Nanotechnology, Pandemic, Saliva, Vaccine

Deep learning in the quest for compound nomination for fighting COVID-19.
In Current medicinal chemistry ; h5-index 49.0
Mernea Maria, Martin Eliza C, Petrescu Andrei-José, Avram Speranta
2021-Jan-13
SARS-CoV-2, deep learning, drug design, drug repurposing.\n, drug-target interactions, virtual screening

COVID-19: Short-term forecast of ICU beds in times of crisis.
In PloS one ; h5-index 176.0
Goic Marcel, Bozanic-Leal Mirko S, Badal Magdalena, Basso Leonardo J
2021

Are college campuses superspreaders? A data-driven modeling study.
In Computer methods in biomechanics and biomedical engineering
Lu Hannah, Weintz Cortney, Pace Joseph, Indana Dhiraj, Linka Kevin, Kuhl Ellen
2021-Jan-13
COVID-19, Coronavirus, SEIR model, epidemiology, machine learning

An Efficient Method for Coronavirus Detection Through X-rays using deep Neural Network.
In Current medical imaging
BACKGROUND :
OBJECTIVE :
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Rao P Srinivasa, Bheemavarapu Pradeep, Kalyampudi P S Latha, Rao T V Madhusudhana
2021-Jan-12
Coronavirus, VGG19, chest x-ray radiographs, convolutional neural network., covid-19, real time – polymerase chain reaction

Pandemic Equation for Describing and Predicting COVID19 Evolution.
In Journal of healthcare informatics research
Shur Michael
2021-Jan-07
COVID19, Mitigation, Pandemic, Quarantine

Predicting the COVID-19 infection with fourteen clinical features using machine learning classification algorithms.
In Multimedia tools and applications
Arpaci Ibrahim, Huang Shigao, Al-Emran Mostafa, Al-Kabi Mohammed N, Peng Minfei
2021-Jan-07
COVID-19, Classification algorithms, Diagnosis, Machine learning, Novel coronavirus, Prediction

COVIDScreen: explainable deep learning framework for differential diagnosis of COVID-19 using chest X-rays.
In Neural computing & applications
Singh Rajeev Kumar, Pandey Rohan, Babu Rishie Nandhan
2021-Jan-08
COVID-19, Chest X-rays, Deep learning, Ensemble learning, ExplainableAI, GANs

The association of Coronavirus Disease-19 mortality and prior bacille Calmette-Guerin vaccination: a robust ecological analysis using unsupervised machine learning.
In Scientific reports ; h5-index 158.0
Brooks Nathan A, Puri Ankur, Garg Sanya, Nag Swapnika, Corbo Jacomo, Turabi Anas El, Kaka Noshir, Zemmel Rodney W, Hegarty Paul K, Kamat Ashish M
2021-01-12

Diabetic Retinopathy Screening Using Artificial Intelligence and Handheld Smartphone-Based Retinal Camera.
In Journal of diabetes science and technology ; h5-index 38.0
BACKGROUND :
METHOD :
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Malerbi Fernando Korn, Andrade Rafael Ernane, Morales Paulo Henrique, Stuchi José Augusto, Lencione Diego, de Paulo Jean Vitor, Carvalho Mayana Pereira, Nunes Fabrícia Silva, Rocha Roseanne Montargil, Ferraz Daniel A, Belfort Rubens
2021-Jan-12
Covid-19, artificial intelligence, diabetic retinopathy, mobile healthcare, point-of-care, screening, telemedicine
A Novel Protein Mapping Method for Predicting the Protein Interactions in COVID-19 Disease by Deep Learning.
In Interdisciplinary sciences, computational life sciences
Alakus Talha Burak, Turkoglu Ibrahim
2021-Jan-12
AVL tree, COVID-19, Deep learning, Protein mapping, SARS-COV-2

Evaluation of deep learning-based approaches for COVID-19 classification based on chest X-ray images.
In Signal, image and video processing
Kc Kamal, Yin Zhendong, Wu Mingyang, Wu Zhilu
2021-Jan-07
COVID-19, Chest X-ray, Deep convolution neural network, SARS, Transfer learning
A novel deep learning-based quantification of serial chest computed tomography in Coronavirus Disease 2019 (COVID-19).
In Scientific reports ; h5-index 158.0
Pan Feng, Li Lin, Liu Bo, Ye Tianhe, Li Lingli, Liu Dehan, Ding Zezhen, Chen Guangfeng, Liang Bo, Yang Lian, Zheng Chuansheng
2021-01-11

Using image-based haplotype alignments to map global adaptation of SARS-CoV-2
bioRxiv Preprint
Ouellette, T. W.; Shaw, J.; Awadalla, P.
2021-01-13

Pneumonia Classification Using Deep Learning from Chest X-ray Images During COVID-19.
In Cognitive computation
Ibrahim Abdullahi Umar, Ozsoz Mehmet, Serte Sertan, Al-Turjman Fadi, Yakoi Polycarp Shizawaliyi
2021-Jan-04
AlexNet, Bacterial pneumonia, COVID-19, Chest X-rays images (CXR), Non-COVID-19 viral pneumonia

A Study of the Neutrosophic Set Significance on Deep Transfer Learning Models: an Experimental Case on a Limited COVID-19 Chest X-ray Dataset.
In Cognitive computation
Khalifa Nour Eldeen M, Smarandache Florentin, Manogaran Gunasekaran, Loey Mohamed
2021-Jan-04
CNN, COVID-19, Coronavirus, Deep transfer learning, Neutrosophic, SARS-CoV-2

Sociological modeling of smart city with the implementation of UN sustainable development goals.
In Sustainability science
** :
Supplementary Information :
Kolesnichenko Olga, Mazelis Lev, Sotnik Alexander, Yakovleva Dariya, Amelkin Sergey, Grigorevsky Ivan, Kolesnichenko Yuriy
2021-Jan-03
API-sociology, Community wellness, Logical artificial intelligence, Smart and healthy city, Sociology of smart city, Sustainable development goals
Modeling the progression of COVID-19 deaths using Kalman Filter and AutoML.
In Soft computing
Han Tao, Gois Francisco Nauber Bernardo, Oliveira Ramsés, Prates Luan Rocha, Porto Magda Moura de Almeida
2021-Jan-05
AutoML, COVID-19, Forecast, Kalman Filter
Development and external evaluation of predictions models for mortality of COVID-19 patients using machine learning method.
In Neural computing & applications
** :
Supplementary Information :
Li Simin, Lin Yulan, Zhu Tong, Fan Mengjie, Xu Shicheng, Qiu Weihao, Chen Can, Li Linfeng, Wang Yao, Yan Jun, Wong Justin, Naing Lin, Xu Shabei
2021-Jan-05
COVID-19, China, Machine learning, Mortality, Prediction

Accurate computation: COVID-19 rRT-PCR positive test dataset using stages classification through textual big data mining with machine learning.
In The Journal of supercomputing
Ramanathan Shalini, Ramasundaram Mohan
2021-Jan-04
COVID-19, Classification, Feature extraction, Machine learning, RT-PCR test, TF-IDF, Text data mining

Designing a hybrid reinforcement learning based algorithm with application in prediction of the COVID-19 pandemic in Quebec.
In Annals of operations research
Khalilpourazari Soheyl, Hashemi Doulabi Hossein
2021-Jan-03
COVID-19 pandemic, Machine learning, Reinforcement learning, SARS-Cov-2, SIDARTHE

Convolutional Neural Networks for Semantic Segmentation as a Tool for Multiclass Face Analysis in Thermal Infrared.
In Journal of nondestructive evaluation
Müller David, Ehlen Andreas, Valeske Bernd
2021
Artificial intelligence, Health monitoring, Intelligent sensors, Machine learning, Thermography

Big data augmentated business trend identification: the case of mobile commerce.
In Scientometrics
Saritas Ozcan, Bakhtin Pavel, Kuzminov Ilya, Khabirova Elena
2021-Jan-05
COVID-19, Global trends, Horizon scanning, M-commerce, Machine learning, Natural language processing, Tech mining

Nursing and precision predictive analytics monitoring in the acute and intensive care setting: An emerging role for responding to COVID-19 and beyond.
In International journal of nursing studies advances
Keim-Malpass Jessica, Moorman Liza P
2021-Nov
Acuity assessment, COVID-19, Clinical deterioration, Continuous predictive analytics monitoring, Nursing, Precision surveillance

Deep-LSTM ensemble framework to forecast Covid-19: an insight to the global pandemic.
In International journal of information technology : an official journal of Bharati Vidyapeeth's Institute of Computer Applications and Management
Shastri Sourabh, Singh Kuljeet, Kumar Sachin, Kour Paramjit, Mansotra Vibhakar
2021-Jan-03
Artificial intelligence, Covid-19, Deep learning, LSTM, Nested ensemble

COVIDNet-CT: A Tailored Deep Convolutional Neural Network Design for Detection of COVID-19 Cases From Chest CT Images.
In Frontiers in medicine
Gunraj Hayden, Wang Linda, Wong Alexander
2020
COVID-19, SARS-CoV-2, computed tomography, deep learning, image classification, pneumonia

Predicting the European stock market during COVID-19: A machine learning approach.
In MethodsX
Khattak Mudeer Ahmed, Ali Mohsin, Rizvi Syed Aun R
2021
Coronavirus, Europe, Least Absolute Shrinkage and Selection Operator (LASSO), Stock markets

SSDMNV2: A real time DNN-based face mask detection system using single shot multibox detector and MobileNetV2.
In Sustainable cities and society
Nagrath Preeti, Jain Rachna, Madan Agam, Arora Rohan, Kataria Piyush, Hemanth Jude
2021-Mar
Bottleneck, Convolutional Neural Network, Data augmentation, Fine tuning, MobileNetV2

E-DiCoNet: Extreme learning machine based classifier for diagnosis of COVID-19 using deep convolutional network.
In Journal of ambient intelligence and humanized computing
Murugan R, Goel Tripti
2021-Jan-02
Automatic diagnosis, COVID-19, Convolutional neural network, Coronavirus, Deep learning, Extreme learning machine, ResNet

COV19-CNNet and COV19-ResNet: Diagnostic Inference Engines for Early Detection of COVID-19.
In Cognitive computation
Keles Ayturk, Keles Mustafa Berk, Keles Ali
2021-Jan-06
CXR radiographs, Convolutional neural network, Novel coronavirus, Pneumonia, Residual network, SARS-CoV-2
Glycemic status affects the severity of coronavirus disease 2019 in patients with diabetes mellitus: an observational study of CT radiological manifestations using an artificial intelligence algorithm.
In Acta diabetologica ; h5-index 40.0
AIMS :
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Lu Xiaoting, Cui Zhenhai, Pan Feng, Li Lingli, Li Lin, Liang Bo, Yang Lian, Zheng Chuansheng
2021-Jan-08
AI, Blood glucose, COVID-19, CT, DM

How Resiliency and Hope Can Predict Stress of Covid-19 by Mediating Role of Spiritual Well-being Based on Machine Learning.
In Journal of religion and health
Nooripour Roghieh, Hosseinian Simin, Hussain Abir Jaafar, Annabestani Mohsen, Maadal Ameer, Radwin Laurel E, Hassani-Abharian Peyman, Pirkashani Nikzad Ghanbari, Khoshkonesh Abolghasem
2021-Jan-04
Covid-19, Hope, Machine learning, Resiliency, Spiritual well-being, Stress

How do Covid-19 policy options depend on end-of-year holiday contacts in Mexico City Metropolitan Area? A Modeling Study.
In medRxiv : the preprint server for health sciences
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Funding :
Research in context :
Alarid-Escudero Fernando, Gracia Valeria, Luviano Andrea, Peralta Yadira, Reitsma Marissa B, Claypool Anneke L, Salomon Joshua A, Studdert David M, Andrews Jason R, Goldhaber-Fiebert Jeremy D
2020-Dec-22

DeepImmuno: Deep learning-empowered prediction and generation of immunogenic peptides for T cell immunity.
In bioRxiv : the preprint server for biology
** :
Data Availability :
Li Guangyuan, Iyer Balaji, Prasath V B Surya, Ni Yizhao, Salomonis Nathan
2020-Dec-24

Analyzing the vast coronavirus literature with CoronaCentral.
In bioRxiv : the preprint server for biology
Lever Jake, Altman Russ B
2020-Dec-22

Emerging SARS-CoV-2 diversity revealed by rapid whole genome sequence typing.
In bioRxiv : the preprint server for biology
Background :
Methods :
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Moustafa Ahmed M, Planet Paul J
2020-Dec-28

Machine learning-based prediction of COVID-19 diagnosis based on symptoms.
In NPJ digital medicine
Zoabi Yazeed, Deri-Rozov Shira, Shomron Noam
2021-Jan-04
A Sentiment Analysis Approach to Predict an Individual's Awareness of the Precautionary Procedures to Prevent COVID-19 Outbreaks in Saudi Arabia.
In International journal of environmental research and public health ; h5-index 73.0
Aljameel Sumayh S, Alabbad Dina A, Alzahrani Norah A, Alqarni Shouq M, Alamoudi Fatimah A, Babili Lana M, Aljaafary Somiah K, Alshamrani Fatima M
2020-12-30
Arabic sentiment analysis, K-nearest neighbor, N-gram, Twitter, machine learning, natural language processing, naïve bayes, support vector machine
Development and Validation of an Automated Radiomic CT Signature for Detecting COVID-19.
In Diagnostics (Basel, Switzerland)
Guiot Julien, Vaidyanathan Akshayaa, Deprez Louis, Zerka Fadila, Danthine Denis, Frix Anne-Noëlle, Thys Marie, Henket Monique, Canivet Gregory, Mathieu Stephane, Eftaxia Evanthia, Lambin Philippe, Tsoutzidis Nathan, Miraglio Benjamin, Walsh Sean, Moutschen Michel, Louis Renaud, Meunier Paul, Vos Wim, Leijenaar Ralph T H, Lovinfosse Pierre
2020-Dec-30
COVID-19, artificial intelligence, computed tomography, machine learning, radiomics
Artificial Intelligence Model of Drive-Through Vaccination Simulation.
In International journal of environmental research and public health ; h5-index 73.0
Asgary Ali, Valtchev Svetozar Zarko, Chen Michael, Najafabadi Mahdi M, Wu Jianhong
2020-12-31
COVID-19 pandemic, artificial intelligence, discrete event simulation, drive-through, mass vaccination
Factors associated with worsening oxygenation in patient with non-severe COVID-19 pneumonia.
In Tuberculosis and respiratory diseases
Background :
Methods :
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Hahm Cho Rom, Lee Young Kyung, Oh Dong Hyun, Ahn Mi Young, Choi Jae-Phil, Kang Na Ree, Oh Jungkyun, Choi Hanzo, Kim Suhyun
2021-Jan-05
COVID-19, Computed tomography, Oxygenation, Pneumonia, artificial intelligence
Federated Learning of Electronic Health Records Improves Mortality Prediction in Patients Hospitalized with COVID-19.
In JMIR medical informatics ; h5-index 23.0
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CLINICALTRIAL :
Vaid Akhil, Jaladanki Suraj K, Xu Jie, Teng Shelly, Kumar Arvind, Lee Samuel, Somani Sulaiman, Paranjpe Ishan, De Freitas Jessica K, Wanyan Tingyi, Johnson Kipp W, Bicak Mesude, Klang Eyal, Kwon Young Joon, Costa Anthony, Zhao Shan, Miotto Riccardo, Charney Alexander W, Böttinger Erwin, Fayad Zahi A, Nadkarni Girish N, Wang Fei, Glicksberg Benjamin S
2020-Dec-14
The RSNA International COVID-19 Open Annotated Radiology Database (RICORD).
In Radiology ; h5-index 91.0
Tsai Emily B, Simpson Scott, Lungren Matthew, Hershman Michelle, Roshkovan Leonid, Colak Errol, Erickson Bradley J, Shih George, Stein Anouk, Kalpathy-Cramer Jaysheree, Shen Jody, Hafez Mona, John Susan, Rajiah Prabhakar, Pogatchnik Brian P, Mongan John, Altinmakas Emre, Ranschaert Erik R, Kitamura Felipe C, Topff Laurens, Moy Linda, Kanne Jeffrey P, Wu Carol C
2021-Jan-05
Deployment of artificial intelligence for radiographic diagnosis of COVID-19 pneumonia in the emergency department.
In Journal of the American College of Emergency Physicians open
Objective :
Methods :
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Carlile Morgan, Hurt Brian, Hsiao Albert, Hogarth Michael, Longhurst Christopher A, Dameff Christian
2020-Dec
Algorithms, COVID‐19, artificial intelligence, computers and society, deep learning, emergency medicine, informatics, machine learning, radiology
FCOD: Fast COVID-19 Detector based on deep learning techniques.
In Informatics in medicine unlocked
Panahi Amir Hossein, Rafiei Alireza, Rezaee Alireza
2021
COVID-19 detection, Chest X-ray images, Deep learning, Image processing, Medical applications, Radiology images

Clinical Characteristics and Neonatal Outcomes of Pregnant Patients With COVID-19: A Systematic Review.
In Frontiers in medicine
Islam Md Mohaimenul, Poly Tahmina Nasrin, Walther Bruno Andreas, Yang Hsuan Chia, Wang Cheng-Wei, Hsieh Wen-Shyang, Atique Suleman, Salmani Hosna, Alsinglawi Belal, Lin Ming Ching, Jian Wen Shan, Jack Li Yu-Chuan
2020
COVID-19, CT-scan, SARS–CoV-2, coronavirus, pregnant women

Internet of Things and Artificial Intelligence in Healthcare During COVID-19 Pandemic-A South American Perspective.
In Frontiers in public health
Chatterjee Parag, Tesis Andreína, Cymberknop Leandro J, Armentano Ricardo L
2020
COVID-19, artificial intelligence, healthcare, internet of things, machine learning, pandemic, ubiquitous, virtual healthcare
ACE inhibition and cardiometabolic risk factors, lung ACE2 and TMPRSS2 gene expression, and plasma ACE2 levels: a Mendelian randomization study.
In Royal Society open science
Gill Dipender, Arvanitis Marios, Carter Paul, Hernández Cordero Ana I, Jo Brian, Karhunen Ville, Larsson Susanna C, Li Xuan, Lockhart Sam M, Mason Amy, Pashos Evanthia, Saha Ashis, Tan Vanessa Y, Zuber Verena, Bossé Yohan, Fahle Sarah, Hao Ke, Jiang Tao, Joubert Philippe, Lunt Alan C, Ouwehand Willem Hendrik, Roberts David J, Timens Wim, van den Berge Maarten, Watkins Nicholas A, Battle Alexis, Butterworth Adam S, Danesh John, Di Angelantonio Emanuele, Engelhardt Barbara E, Peters James E, Sin Don D, Burgess Stephen
2020-Nov
COVID-19, Mendelian randomization, angiotensin-converting enzyme inhibitors, genetic epidemiology

Deep Phenotyping of Headache in Hospitalized COVID-19 Patients via Principal Component Analysis.
In Frontiers in neurology
Planchuelo-Gómez Álvaro, Trigo Javier, de Luis-García Rodrigo, Guerrero Ángel L, Porta-Etessam Jesús, García-Azorín David
2020
COVID-19, headache disorders, machine learning, migraine, tension-type headache

Multi-criterion Intelligent Decision Support system for COVID-19.
In Applied soft computing
Aggarwal Lakshita, Goswami Puneet, Sachdeva Shelly
2021-Mar
Covid-19, Epidemiology, Learning method, Machine learning, Multi-criterion Intelligent Decision Support system

Risk factors related to the severity of COVID-19 in Wuhan.
In International journal of medical sciences
Zhao Chen, Bai Yan, Wang Cencen, Zhong Yanyan, Lu Na, Tian Li, Cai Fucheng, Jin Runming
2021
COVID-19, machine learning, moderate cases, prognostic prediction, risk factors, severe prognosis, severity

ResGNet-C: A graph convolutional neural network for detection of COVID-19.
In Neurocomputing
Yu Xiang, Lu Siyuan, Guo Lili, Wang Shui-Hua, Zhang Yu-Dong
2020-Dec-30
COVID-19, Deep learning, Graph neural network, Pneumonia, ResGNet-C

A National US Survey of Pediatric Emergency Department Coronavirus Pandemic Preparedness.
In Pediatric emergency care
OBJECTIVE :
METHODS :
RESULTS :
CONCLUSIONS :
Auerbach Marc A, Abulebda Kamal, Bona Anna Mary, Falvo Lauren, Hughes Patrick G, Wagner Michael, Barach Paul R, Ahmed Rami A
2021-Jan-01

Lung CT Segmentation to Identify Consolidations and Ground Glass Areas for Quantitative Assesment of SARS-CoV Pneumonia.
In Journal of visualized experiments : JoVE
Cattabriga Arrigo, Cocozza Maria Adriana, Vara Giulio, Coppola Francesca, Golfieri Rita
2020-12-19

Immune Computation and COVID-19 Mortality: A Rationale for IVIg.
In Critical reviews in immunology
Cohen Irun R, Efroni Sol, Atlan Henri
2020

Ivermectin as a potential drug for treatment of COVID-19: an in-sync review with clinical and computational attributes.
In Pharmacological reports : PR
INTRODUCTION :
METHODS :
CONCLUSION :
Kaur Harpinder, Shekhar Nishant, Sharma Saurabh, Sarma Phulen, Prakash Ajay, Medhi Bikash
2021-Jan-03
COVID-19, Ivermectin, SARS-CoV-2, Treatment
Integration of cardiovascular risk assessment with COVID-19 using artificial intelligence.
In Reviews in cardiovascular medicine
Suri Jasjit S, Puvvula Anudeep, Majhail Misha, Biswas Mainak, Jamthikar Ankush D, Saba Luca, Faa Gavino, Singh Inder M, Oberleitner Ronald, Turk Monika, Srivastava Saurabh, Chadha Paramjit S, Suri Harman S, Johri Amer M, Nambi Vijay, Sanches J Miguel, Khanna Narendra N, Viskovic Klaudija, Mavrogeni Sophie, Laird John R, Bit Arindam, Pareek Gyan, Miner Martin, Balestrieri Antonella, Sfikakis Petros P, Tsoulfas George, Protogerou Athanasios, Misra Durga Prasanna, Agarwal Vikas, Kitas George D, Kolluri Raghu, Teji Jagjit, Porcu Michele, Al-Maini Mustafa, Agbakoba Ann, Sockalingam Meyypan, Sexena Ajit, Nicolaides Andrew, Sharma Aditya, Rathore Vijay, Viswanathan Vijay, Naidu Subbaram, Bhatt Deepak L
2020-12-30
COVID-19, artificial intelligence, cardiovascular, myocarditis, non-invasive monitoring, risk assessment

Interpretable detection of novel human viruses from genome sequencing data
bioRxiv Preprint
Bartoszewicz, J. M.; Seidel, A.; Renard, B. Y.
2021-01-04

National preparedness survey of pediatric intensive care units with simulation centers during the coronavirus pandemic.
In World journal of critical care medicine ; h5-index 22.0
BACKGROUND :
AIM :
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Abulebda Kamal, Ahmed Rami A, Auerbach Marc A, Bona Anna M, Falvo Lauren E, Hughes Patrick G, Gross Isabel T, Sarmiento Elisa J, Barach Paul R
2020-Dec-18
COVID-19, Pediatric intensive care unit, Practice innovations, Preparedness, Simulation, Training

TW-SIR: time-window based SIR for COVID-19 forecasts.
In Scientific reports ; h5-index 158.0
Liao Zhifang, Lan Peng, Liao Zhining, Zhang Yan, Liu Shengzong
2020-12-31

A model to rate strategies for managing disease due to COVID-19 infection.
In Scientific reports ; h5-index 158.0
Wang Shiyan, Ramkrishna Doraiswami
2020-12-31

Predicted Cellular Immunity Population Coverage Gaps for SARS-CoV-2 Subunit Vaccines and Their Augmentation by Compact Peptide Sets.
In Cell systems
Liu Ge, Carter Brandon, Gifford David K
2020-Nov-27
SARS-CoV-2, combinatorial optimization, haplotype, machine learning, major histocompatibility complex, peptide vaccine, population coverage, subunit, vaccine augmentation, vaccine evaluation

Optimised genetic algorithm-extreme learning machine approach for automatic COVID-19 detection.
In PloS one ; h5-index 176.0
Albadr Musatafa Abbas Abbood, Tiun Sabrina, Ayob Masri, Al-Dhief Fahad Taha, Omar Khairuddin, Hamzah Faizal Amri
2020

Study of the Novel AI-Powered Emotional Intelligence and Mindfulness App (Ajivar) for the College population during the COVID-19 Pandemic.
In JMIR formative research
BACKGROUND :
OBJECTIVE :
METHODS :
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CLINICALTRIAL :
Sturgill Ronda, Martinasek Mary, Schmidt Trine, Goyal Raj
2020-Dec-08
Are e-learning Webinars the future of medical education? An exploratory study of a disruptive innovation in the COVID-19 era.
In Cardiology in the young
OBJECTIVE :
MATERIALS AND METHODS :
RESULTS :
CONCLUSION :
McMahon Colin J, Tretter Justin T, Faulkner Theresa, Krishna Kumar R, Redington Andrew N, Windram Jonathan D
2020-Dec-15
COVID-19, Conference, Webinar, e-learning, education, tetralogy of Fallot

Machine Learning Models for covid-19 future forecasting.
In Materials today. Proceedings
Mojjada Ramesh Kumar, Yadav Arvind, Prabhu A V, Natarajan Yuvaraj
2020-Dec-09
COVID-19, R2 score adjusted, exponential process of smoothing, future forecasting, machine learning supervised

Modeling and analysis of different scenarios for the spread of COVID-19 by using the modified multi-agent systems - Evidence from the selected countries.
In Results in physics
Vyklyuk Yaroslav, Manylich Mykhailo, Škoda Miroslav, Radovanović Milan M, Petrović Marko D
2020-Dec-09
COVID-19, forecasting, modified multi-agent systems, public activities, simulations

How artificial intelligence and machine learning can help healthcare systems respond to COVID-19.
In Machine learning
van der Schaar Mihaela, Alaa Ahmed M, Floto Andres, Gimson Alexander, Scholtes Stefan, Wood Angela, McKinney Eoin, Jarrett Daniel, Lio Pietro, Ercole Ari
2020-Dec-09
COVID-19, Clinical decision support, Healthcare

Information Technology Solutions, Challenges, and Suggestions for Tackling the COVID-19 Pandemic.
In International journal of information management
He Wu, Zhang Justin, Li Wenzhuo
2020-Dec-09
Artificial Intelligence, Big Data, Blockchain, COVID-19, Digital Divide, Human Behavior, Information Systems, System Integration
An Aberration Detection-Based Approach for Sentinel Syndromic Surveillance of COVID-19 and Other Novel Influenza-Like Illnesses.
In Journal of biomedical informatics ; h5-index 55.0
Wen Andrew, Wang Liwei, He Huan, Liu Sijia, Fu Sunyang, Sohn Sunghwan, Kugel Jacob A, Kaggal Vinod C, Huang Ming, Wang Yanshan, Shen Feichen, Fan Jungwei, Liu Hongfang
2020-Dec-12
COVID-19, Deep Learning, Syndromic Surveillance
Evaluating the impact of mobility on COVID-19 pandemic with machine learning hybrid predictions.
In The Science of the total environment
Kuo Cheng-Pin, Fu Joshua S
2020-Nov-28
County-level, Forecasting, Lockdown, Pandemic, Re-opening

Corticosteroid therapy is associated with improved outcome in critically ill COVID-19 patients with hyperinflammatory phenotype.
In Chest ; h5-index 81.0
BACKGROUND :
RESEARCH QUESTION :
STUDY DESIGN AND METHODS :
RESULTS :
INTERPRETATION :
Chen Hui, Xie Jianfeng, Su Nan, Wang Jun, Sun Qin, Li Shusheng, Jin Jun, Zhou Jing, Mo Min, Wei Yao, Chao Yali, Hu Weiwei, Du Bin, Qiu Haibo
2020-Dec-11
COVID-19, Corticosteroid, Phenotype

Correction: Identifying and Ranking Common COVID-19 Symptoms From Tweets in Arabic: Content Analysis.
In Journal of medical Internet research ; h5-index 88.0
Alanazi Eisa, Alashaikh Abdulaziz, Alqurashi Sarah, Alanazi Aued
2020-Dec-14
Chest CT imaging features and severity scores as biomarkers for prognostic prediction in patients with COVID-19.
In Annals of translational medicine
Background :
Methods :
Results :
Conclusions :
Zhou Shuchang, Chen Chengyang, Hu Yiqi, Lv Wenzhi, Ai Tao, Xia Liming
2020-Nov
Coronavirus disease, computed tomography, prognosis, risk factor, severity score

Asynchrony Between Individual and Government Actions Accounts for Disproportionate Impact of COVID-19 on Vulnerable Communities.
In American journal of preventive medicine ; h5-index 75.0
INTRODUCTION :
METHODS :
RESULTS :
CONCLUSIONS :
Abdalla Moustafa, Abar Arjan, Beiter Evan R, Saad Mohamed
2020-Nov-13

Towards Accurate Spatiotemporal COVID-19 Risk Scores using High Resolution Real-World Mobility Data
ArXiv Preprint
Sirisha Rambhatla, Sepanta Zeighami, Kameron Shahabi, Cyrus Shahabi, Yan Liu
2020-12-14
Access denied: the shortage of digitized fitness resources for people with disabilities.
In Disability and rehabilitation ; h5-index 45.0
PURPOSE :
MATERIALS AND METHODS :
RESULTS :
Stratton Catherine, Kadakia Shevali, Balikuddembe Joseph K, Peterson Mark, Hajjioui Abderrazak, Cooper Rory, Hong Bo-Young, Pandiyan Uma, Muñoz-Velasco Laura Paulina, Joseph James, Krassioukov Andrei, Tripathi Deo Rishi, Tuakli-Wosornu Yetsa A
2020-Dec-11
Accessibility, digital resources, home exercise, inclusive, people with disabilities
Ruling In and Ruling Out COVID-19: Computing SARS-CoV-2 Infection Risk From Symptoms, Imaging and Test Data.
In Journal of medical Internet research ; h5-index 88.0
BACKGROUND :
OBJECTIVE :
METHODS :
RESULTS :
CONCLUSIONS :
CLINICALTRIAL :
D’Ambrosia Christopher, Christensen Henrik, Aronoff-Spencer Eliah
2020-Nov-02
Artificial intelligence can predict the mortality of COVID-19 patients at the admission time using routine blood samples.
In Journal of medical Internet research ; h5-index 88.0
BACKGROUND :
OBJECTIVE :
METHODS :
RESULTS :
CONCLUSIONS :
CLINICALTRIAL :
Ko Hoon, Chung Heewon, Kang Wu Seong, Park Chul, Kim Do Wan, Kim Seong Eun, Chung Chi Ryang, Ko Ryoung Eun, Lee Hooseok, Seo Jae Ho, Choi Tae-Young, Jaimes Rafael, Kim Kyung Won, Lee Jinseok
2020-Dec-08

Hybrid-COVID: a novel hybrid 2D/3D CNN based on cross-domain adaptation approach for COVID-19 screening from chest X-ray images.
In Physical and engineering sciences in medicine
Bayoudh Khaled, Hamdaoui Fayçal, Mtibaa Abdellatif
2020-Dec-10
COVID-19, Chest X-ray, Deep learning, Hybrid 2D/3D CNN, Pneumonia

Analyses of Risk, Racial Disparity, and Outcomes Among US Patients With Cancer and COVID-19 Infection.
In JAMA oncology ; h5-index 85.0
Importance :
Objectives :
Design, Setting, and Participants :
Exposures :
Main Outcomes and Measures :
Results :
Conclusions and Relevance :
Wang QuanQiu, Berger Nathan A, Xu Rong
2020-Dec-10

Emerging role of artificial intelligence in therapeutics for COVID-19: a systematic review.
In Journal of biomolecular structure & dynamics
Kaushal Karanvir, Sarma Phulan, Rana S V, Medhi Bikash, Naithani Manisha
2020-Dec-10
Artificial intelligence, COVID-19, drug repurposing, novel drug discovery, vaccine development
Vital signs assessed in initial clinical encounters predict COVID-19 mortality in an NYC hospital system.
In Scientific reports ; h5-index 158.0
Rechtman Elza, Curtin Paul, Navarro Esmeralda, Nirenberg Sharon, Horton Megan K
2020-Dec-09

Coronavirus Disease 2019: Virology and Drug Targets.
In Infectious disorders drug targets
Krishnamurthy Praveen Thaggikuppe
2020-Dec-09
CoVID-19, Drug targets, SARS-CoV-2, Virology

Interpretable detection of novel human viruses from genome sequencing data
bioRxiv Preprint
Bartoszewicz, J. M.; Seidel, A.; Renard, B. Y.
2020-12-11
On collaborative reinforcement learning to optimize the redistribution of critical medical supplies throughout the COVID-19 pandemic.
In Journal of the American Medical Informatics Association : JAMIA
OBJECTIVE :
MATERIALS AND METHODS :
RESULTS :
CONCLUSION :
Bednarski Bryan P, Singh Akash Deep, Jones William M
2020-Dec-09
Allocation, Artificial Intelligence, Coronavirus, Machine Learning, Resource
Detection of Covid-19 Patients with Convolutional Neural Network Based Features on Multi-class X-ray Chest Images
ArXiv Preprint
Ali Narin
2020-12-10

Application of artificial neural networks to predict the COVID-19 outbreak.
In Global health research and policy
BACKGROUND :
METHODS :
RESULTS :
CONCLUSION :
Niazkar Hamid Reza, Niazkar Majid
2020-Nov-23
Artificial intelligence, Artificial neural network, COVID-19 outbreak, Estimation model, Prediction model, SARS-COV-2
COVID-MTL: Multitask Learning with Shift3D and Random-weighted Loss for Diagnosis and Severity Assessment of COVID-19
ArXiv Preprint
Guoqing Bao, Xiuying Wang
2020-12-10

The Effect of COVID-19 Residential Lockdown on Subjective Well-Being in China.
In Journal of medical Internet research ; h5-index 88.0
BACKGROUND :
OBJECTIVE :
METHODS :
RESULTS :
CONCLUSIONS :
Wang Yilin, Wu Peijing, Liu Xiaoqian, Li Sijia, Zhu Tingshao, Zhao Nan
2020-Dec-05

Repurposing potential of FDA approved and investigational drugs for COVID-19 targeting SARS-CoV-2 spike and main protease and validation by machine learning algorithm.
In Chemical biology & drug design ; h5-index 32.0
Verma Akalesh K, Aggarwal Rohit
2020-Dec-07
2019nCov, antiviral drugs, cordycepin, coronavirus, drug repurposing

Classification of Covid-19 Coronavirus, Pneumonia and Healthy Lungs in CT Scans Using Q-Deformed Entropy and Deep Learning Features.
In Entropy (Basel, Switzerland)
Hasan Ali M, Al-Jawad Mohammed M, Jalab Hamid A, Shaiba Hadil, Ibrahim Rabha W, Al-Shamasneh Ala’a R
2020-May-01
CT scans of lungs, LSTM network, Q—deformed entropy, deep learning, features extraction, fractional calculus
Hypergraph learning for identification of COVID-19 with CT imaging.
In Medical image analysis
Di Donglin, Shi Feng, Yan Fuhua, Xia Liming, Mo Zhanhao, Ding Zhongxiang, Shan Fei, Song Bin, Li Shengrui, Wei Ying, Shao Ying, Han Miaofei, Gao Yaozong, Sui He, Gao Yue, Shen Dinggang
2020-Nov-26
COVID-19 pneumonia, Hypergraph learning, Uncertainty calculation, Vertex-weighted

COVID-AL: The diagnosis of COVID-19 with deep active learning.
In Medical image analysis
Wu Xing, Chen Cheng, Zhong Mingyu, Wang Jianjia, Shi Jun
2020-Nov-26
COVID-19, Computer-aided diagnosis, Deep active learning, Predicted loss, Sample diversity
Artificial Intelligence in the Fight against COVID-19: A Scoping Review.
In Journal of medical Internet research ; h5-index 88.0
BACKGROUND :
OBJECTIVE :
METHODS :
RESULTS :
CONCLUSIONS :
Abd-Alrazaq Alaa, Alajlani Mohannad, Alhuwail Dari, Schneider Jens, Al-Kuwari Saif, Shah Zubair, Hamdi Mounir, Househ Mowafa
2020-Jul-29
Development and Validation of a Prognostic Risk Score System for COVID-19 Inpatients: A Multi-Center Retrospective Study in China.
In Engineering (Beijing, China)
Yuan Ye, Sun Chuan, Tang Xiuchuan, Cheng Cheng, Mombaerts Laurent, Wang Maolin, Hu Tao, Sun Chenyu, Guo Yuqi, Li Xiuting, Xu Hui, Ren Tongxin, Xiao Yang, Xiao Yaru, Zhu Hongling, Wu Honghan, Li Kezhi, Chen Chuming, Liu Yingxia, Liang Zhichao, Cao Zhiguo, Zhang Hai-Tao, Ch Paschaldis Ioannis, Liu Quanying, Goncalves Jorge, Zhong Qiang, Yan Li
2020-Nov-28
COVID-19, Mortality risk prediction, Risk score

How chemical engineers can contribute to fight the COVID-19.
In Journal of the Taiwan Institute of Chemical Engineers
Santana Harrson S, de Souza Marcos R P, Lopes Mariana G M, Souza Johmar, Silva Renan R O, Palma Mauri S A, Nakano Wilson L V, Lima Giovanni A S, Munhoz Guadalupe, Noriler Dirceu, Taranto Osvaldir P, Silva João L
2020-Nov-28
Artificial intelligence, COVID19, Fluid dynamics, Microfluidics, SARS-CoV-2, Vaccine

Data Analysis of Covid-19 Pandemic and Short-Term Cumulative Case Forecasting Using Machine Learning Time Series Models.
In Chaos, solitons, and fractals
Ballı Serkan
2020-Nov-28
Covid-19, Machine Learning, Multi-layer perceptron, Statistical distribution, Support vector machine

Prediction of COVID-19 Confirmed Cases Combining Deep Learning Methods and Bayesian Optimization.
In Chaos, solitons, and fractals
Abbasimehr Hossein, Paki Reza
2020-Nov-28
Bayesian optimization, CNN, COVID-19, Deep learning, LSTM, Multi-head attention
Radiology indispensable for tracking COVID-19.
In Diagnostic and interventional imaging
Li Jingwen, Long Xi, Wang Xinyi, Fang Fang, Lv Xuefei, Zhang Dandan, Sun Yu, Hu Shaoping, Lin Zhicheng, Xiong Nian
2020-Nov-24
Artificial intelligence, COVID-19, Magnetic resonance imaging, Positron emission tomography computed tomography., Tomography, X-ray computed
Text mining approaches for dealing with the rapidly expanding literature on COVID-19.
In Briefings in bioinformatics
Wang Lucy Lu, Lo Kyle
2020-Dec-07
CORD-19, COVID-19, information extraction, information retrieval, natural language processing, question answering, shared tasks, summarization, text mining

A review of COVID-19 biomarkers and drug targets: resources and tools.
In Briefings in bioinformatics
Caruso Francesca P, Scala Giovanni, Cerulo Luigi, Ceccarelli Michele
2020-Dec-07

Morphological Cell Profiling of SARS-CoV-2 Infection Identifies Drug Repurposing Candidates for COVID-19
bioRxiv Preprint
Mirabelli, C.; Wotring, J. W.; Zhang, C. J.; McCarty, S. M.; Fursmidt, R.; Frum, T.; Kadambi, N. S.; Amin, A. T.; O’Meara, T. R.; Pretto-Kernahan, C. D.; Spence, J. R.; Huang, J.; Alysandratos, K. D.; Kotton, D. N.; Handelman, S. K.; Wobus, C. E.; Weatherwax, K. J.; Mashour, G. A.; O’Meara, M. J.; Sexton, J. Z.
2020-12-07

Improving Clinical Document Understanding on COVID-19 Research with Spark NLP
ArXiv Preprint
Veysel Kocaman, David Talby
2020-12-07

Techniques assisting peptide vaccine and peptidomimetic design. Sidechain exposure in the SARS-CoV-2 spike glycoprotein.
In Computers in biology and medicine
Robson B
2020-Nov-21
Accessibility, COVID-19, Conformation, Coronavirus, Disorder, Exposure, Glycosylation, SARS-CoV-2, Spike glycoprotein

COVID-19 CT Image Synthesis with a Conditional Generative Adversarial Network.
In IEEE journal of biomedical and health informatics
Jiang Yifan, Chen Han, Loew M H, Ko Hanseok
2020-Dec-04

Application of machine intelligence technology in the detection of vaccines and medicines for SARS-CoV-2.
In European review for medical and pharmacological sciences
Alsharif M H, Alsharif Y H, Albreem M A, Jahid A, Solyman A A A, Yahya K, Alomari O A, Hossain M S
2020-Nov

StackNet-DenVIS: a multi-layer perceptron stacked ensembling approach for COVID-19 detection using X-ray images.
In Physical and engineering sciences in medicine
Autee Pratik, Bagwe Sagar, Shah Vimal, Srivastava Kriti
2020-Dec-04
Covid-19, Deep neural networks, Generative adversarial networks, Image segmentation, Stacked generalization, Transfer learning

An Artificial Intelligence-Based, Personalized Smartphone App to Improve Childhood Immunization Coverage and Timelines Among Children in Pakistan: Protocol for a Randomized Controlled Trial.
In JMIR research protocols ; h5-index 26.0
BACKGROUND :
OBJECTIVE :
METHODS :
RESULTS :
CONCLUSIONS :
TRIAL REGISTRATION :
INTERNATIONAL REGISTERED REPORT IDENTIFIER (IRRID) :
Kazi Abdul Momin, Qazi Saad Ahmed, Khawaja Sadori, Ahsan Nazia, Ahmed Rao Moueed, Sameen Fareeha, Khan Mughal Muhammad Ayub, Saqib Muhammad, Ali Sikander, Kaleemuddin Hussain, Rauf Yasir, Raza Mehreen, Jamal Saima, Abbasi Munir, Stergioulas Lampros K
2020-Dec-04
AI, EPI, LMICs, Pakistan, artificial intelligence, mHealth, personalized messages, routine childhood immunization, routine immunization, smartphone apps, vaccine-preventable illnesses

Forecasting the long-term trend of COVID-19 epidemic using a dynamic model.
In Scientific reports ; h5-index 158.0
Sun Jichao, Chen Xi, Zhang Ziheng, Lai Shengzhang, Zhao Bo, Liu Hualuo, Wang Shuojia, Huan Wenjing, Zhao Ruihui, Ng Man Tat Alexander, Zheng Yefeng
2020-Dec-03

What Can COVID-19 Teach Us about Using AI in Pandemics?
In Healthcare (Basel, Switzerland)
Laudanski Krzysztof, Shea Gregory, DiMeglio Matthew, Rastrepo Mariana, Solomon Cassie
2020-Dec-01
COVID-19, artificial intelligence, demand constraints, innovation, pandemic

Psychological screening and tracking of athletes and the potential for digital mental health solutions in a hybrid model of care: A mini review.
In JMIR formative research
BACKGROUND :
OBJECTIVE :
METHODS :
RESULTS :
CONCLUSIONS :
CLINICALTRIAL :
Balcombe Luke, De Leo Diego
2020-Oct-17
GENCODE 2021.
In Nucleic acids research ; h5-index 217.0
Frankish Adam, Diekhans Mark, Jungreis Irwin, Lagarde Julien, Loveland Jane E, Mudge Jonathan M, Sisu Cristina, Wright James C, Armstrong Joel, Barnes If, Berry Andrew, Bignell Alexandra, Boix Carles, Carbonell Sala Silvia, Cunningham Fiona, Di Domenico Tomás, Donaldson Sarah, Fiddes Ian T, García Girón Carlos, Gonzalez Jose Manuel, Grego Tiago, Hardy Matthew, Hourlier Thibaut, Howe Kevin L, Hunt Toby, Izuogu Osagie G, Johnson Rory, Martin Fergal J, Martínez Laura, Mohanan Shamika, Muir Paul, Navarro Fabio C P, Parker Anne, Pei Baikang, Pozo Fernando, Riera Ferriol Calvet, Ruffier Magali, Schmitt Bianca M, Stapleton Eloise, Suner Marie-Marthe, Sycheva Irina, Uszczynska-Ratajczak Barbara, Wolf Maxim Y, Xu Jinuri, Yang Yucheng T, Yates Andrew, Zerbino Daniel, Zhang Yan, Choudhary Jyoti S, Gerstein Mark, Guigó Roderic, Hubbard Tim J P, Kellis Manolis, Paten Benedict, Tress Michael L, Flicek Paul
2020-Dec-03
Visual Analytic Tools and Techniques in Population Health and Health Services Research: Scoping Review.
In Journal of medical Internet research ; h5-index 88.0
BACKGROUND :
OBJECTIVE :
METHODS :
RESULTS :
CONCLUSIONS :
INTERNATIONAL REGISTERED REPORT IDENTIFIER (IRRID) :
Chishtie Jawad Ahmed, Marchand Jean-Sebastien, Turcotte Luke A, Bielska Iwona Anna, Babineau Jessica, Cepoiu-Martin Monica, Irvine Michael, Munce Sarah, Abudiab Sally, Bjelica Marko, Hossain Saima, Imran Muhammad, Jeji Tara, Jaglal Susan
2020-Dec-03
data mining, data visualization, health services research, machine learning, mobile phone, population health, visual analytics

Applying the electronic nose for pre-operative SARS-CoV-2 screening.
In Surgical endoscopy ; h5-index 65.0
BACKGROUND :
METHODS :
RESULTS :
CONCLUSIONS :
Wintjens Anne G W E, Hintzen Kim F H, Engelen Sanne M E, Lubbers Tim, Savelkoul Paul H M, Wesseling Geertjan, van der Palen Job A M, Bouvy Nicole D
2020-Dec-02
COVID-19, Electronic nose, Exhaled air, Innovative diagnostics, Volatile organic compounds

Spread Mechanism and Influence Measurement of Online Rumors during COVID-19 Epidemic in China
ArXiv Preprint
Yiou Lin, Hang Lei, Yu Deng
2020-12-04

Review and Analysis of Massively Registered Clinical Trials of COVID-19 using the Text Mining Approach.
In Reviews on recent clinical trials
OBJECTIVE :
METHODS :
RESULTS :
CONCLUSION :
Patel Swayamprakash, Patel Ashish, Patel Mruduka, Shah Umang, Patel Mehul, Solanki Nilay, Patel Suchita
2020-Dec-01
COVID19, Natural Language Processing, Text-Mining, clinical trial, coronavirus, diagnosis, treatment.

Multi-Level Attention Graph Neural Network for Clinically Interpretable Pathway-Level Biomarkers Discovery
bioRxiv Preprint
Xing, X.; Yang, F.; Li, H.; Jiang, B.; Zhang, J.; Zhao, Y.; Huang, J.; Meng, M. Q.- H.; Yao, J.
2020-12-04
Self-supervised Learning of Pixel-wise Anatomical Embeddings in Radiological Images
ArXiv Preprint
Ke Yan, Jinzheng Cai, Dakai Jin, Shun Miao, Adam P. Harrison, Dazhou Guo, Youbao Tang, Jing Xiao, Jingjing Lu, Le Lu
2020-12-04

Supervised Machine Learning Models for Prediction of COVID-19 Infection using Epidemiology Dataset.
In SN computer science
Muhammad L J, Algehyne Ebrahem A, Usman Sani Sharif, Ahmad Abdulkadir, Chakraborty Chinmay, Mohammed I A
2021
COVID-19, Dataset, Decision tree, Machine learning, Pandemic

Development of machine learning models to predict RT-PCR results for severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) in patients with influenza-like symptoms using only basic clinical data.
In Scandinavian journal of trauma, resuscitation and emergency medicine ; h5-index 32.0
BACKGROUND :
METHODS :
RESULTS :
CONCLUSION :
Langer Thomas, Favarato Martina, Giudici Riccardo, Bassi Gabriele, Garberi Roberta, Villa Fabiana, Gay Hedwige, Zeduri Anna, Bragagnolo Sara, Molteni Alberto, Beretta Andrea, Corradin Matteo, Moreno Mauro, Vismara Chiara, Perno Carlo Federico, Buscema Massimo, Grossi Enzo, Fumagalli Roberto
2020-Dec-01
Artificial intelligence, Critical care, Emergency service, hospital, Pandemics, Severe acute respiratory syndrome coronavirus 2, Supervised machine learning
Anxiety in neurosurgical patients undergoing nonurgent surgery during the COVID-19 pandemic.
In Neurosurgical focus ; h5-index 45.0
OBJECTIVE :
METHODS :
RESULTS :
CONCLUSIONS :
Doglietto Francesco, Vezzoli Marika, Biroli Antonio, Saraceno Giorgio, Zanin Luca, Pertichetti Marta, Calza Stefano, Agosti Edoardo, Aliaga Arias Jahard Mijail, Assietti Roberto, Bellocchi Silvio, Bernucci Claudio, Bistazzoni Simona, Bongetta Daniele, Fanti Andrea, Fioravanti Antonio, Fiorindi Alessandro, Franzin Alberto, Locatelli Davide, Pugliese Raffaelino, Roca Elena, Sicuri Giovanni Marco, Stefini Roberto, Venturini Martina, Vivaldi Oscar, Zattra Costanza, Zoia Cesare, Fontanella Marco Maria
2020-Dec
anxiety, machine learning, pandemic
A Deep-Learning Diagnostic Support System for the Detection of COVID-19 Using Chest Radiographs: A Multireader Validation Study.
In Investigative radiology ; h5-index 46.0
** :
MATERIALS AND METHODS :
RESULTS :
CONCLUSIONS :
Fontanellaz Matthias, Ebner Lukas, Huber Adrian, Peters Alan, Löbelenz Laura, Hourscht Cynthia, Klaus Jeremias, Munz Jaro, Ruder Thomas, Drakopoulos Dionysios, Sieron Dominik, Primetis Elias, Heverhagen Johannes T, Mougiakakou Stavroula, Christe Andreas
2020-Nov-30
Reusable Self-Sterilization Masks Based on Electrothermal Graphene Filters.
In ACS applied materials & interfaces ; h5-index 147.0
Shan Xiaoli, Zhang Han, Liu Cihui, Yu Liyan, Di Yunsong, Zhang Xiaowei, Dong Lifeng, Gan Zhixing
2020-Dec-01
COVID-19, electrothermal effect, graphene ink, self-sterilization, surgical masks

Lung transplantation for patients with severe COVID-19.
In Science translational medicine ; h5-index 138.0
Bharat Ankit, Querrey Melissa, Markov Nikolay S, Kim Samuel, Kurihara Chitaru, Garza-Castillon Rafael, Manerikar Adwaiy, Shilatifard Ali, Tomic Rade, Politanska Yuliya, Abdala-Valencia Hiam, Yeldandi Anjana V, Lomasney Jon W, Misharin Alexander V, Budinger G R Scott
2020-Nov-30
Prediction of the incubation period for COVID-19 and future virus disease outbreaks.
In BMC biology
BACKGROUND :
RESULTS :
CONCLUSIONS :
Gussow Ayal B, Auslander Noam, Wolf Yuri I, Koonin Eugene V
2020-Nov-30
COVID-19, Coronavirus, Incubation period, Machine learning, Pandemic, Respiratory disease, Respiratory infections, SARS-CoV-2

Shifting the Paradigm: The Dress-COV Telegram Bot as a Tool for Participatory Medicine.
In International journal of environmental research and public health ; h5-index 73.0
Franchini Michela, Pieroni Stefania, Martini Nicola, Ripoli Andrea, Chiappino Dante, Denoth Francesca, Liebman Michael Norman, Molinaro Sabrina, Della Latta Daniele
2020-Nov-26
COVID-19, SARS-CoV-2, co-morbidity profile, participatory medicine, telegram bot

Is Machine Learning a Better Way to Identify COVID-19 Patients Who Might Benefit from Hydroxychloroquine Treatment?-The IDENTIFY Trial.
In Journal of clinical medicine
Burdick Hoyt, Lam Carson, Mataraso Samson, Siefkas Anna, Braden Gregory, Dellinger R Phillip, McCoy Andrea, Vincent Jean-Louis, Green-Saxena Abigail, Barnes Gina, Hoffman Jana, Calvert Jacob, Pellegrini Emily, Das Ritankar
2020-Nov-26
COVID-19, SARS-Cov-2, drug treatment, hydroxychloroquine, machine learning, mortality, prediction
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