AIMC Topic: Betacoronavirus
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Evaluation of a genetic risk score for severity of COVID-19 using human chromosomal-scale length variation.
Human genomics
Oct 9, 2020
INTRODUCTION: The course of COVID-19 varies from asymptomatic to severe in patients. The basis for this range in symptoms is unknown. One possibility is that genetic variation is partly responsible for the highly variable response. We evaluated how w...
Machine learning based early warning system enables accurate mortality risk prediction for COVID-19.
Nature communications
Oct 6, 2020
Soaring cases of coronavirus disease (COVID-19) are pummeling the global health system. Overwhelmed health facilities have endeavored to mitigate the pandemic, but mortality of COVID-19 continues to increase. Here, we present a mortality risk predict...
Clinical Predictive Models for COVID-19: Systematic Study.
Journal of medical Internet research
Oct 6, 2020
BACKGROUND: COVID-19 is a rapidly emerging respiratory disease caused by SARS-CoV-2. Due to the rapid human-to-human transmission of SARS-CoV-2, many health care systems are at risk of exceeding their health care capacities, in particular in terms of...
Neural Networks, Computer
Machine Learning
Pandemics
COVID-19
Algorithms
Humans
Area Under Curve
Coronavirus Infections
COVID-19 Testing
Public Health Informatics
Clinical Laboratory Techniques
Betacoronavirus
Pneumonia, Viral
Retrospective Studies
Sensitivity and Specificity
Intensive Care Units
Brazil
SARS-CoV-2
Respiration, Artificial
Hospitalization
ROC Curve
Predictive Value of Tests
How to Improve Compliance with Protective Health Measures during the COVID-19 Outbreak: Testing a Moderated Mediation Model and Machine Learning Algorithms.
International journal of environmental research and public health
Oct 4, 2020
In the wake of the sudden spread of COVID-19, a large amount of the Italian population practiced incongruous behaviors with the protective health measures. The present study aimed at examining psychological and psychosocial variables that could predi...
A Novel Strategy for the Development of Vaccines for SARS-CoV-2 (COVID-19) and Other Viruses Using AI and Viral Shell Disorder.
Journal of proteome research
Oct 2, 2020
A model that predicts levels of coronavirus (CoV) respiratory and fecal-oral transmission potentials based on the shell disorder has been built using neural network (artificial intelligence, AI) analysis of the percentage of disorder (PID) in the nuc...
Identification of Risk Factors and Symptoms of COVID-19: Analysis of Biomedical Literature and Social Media Data.
Journal of medical Internet research
Oct 2, 2020
BACKGROUND: In December 2019, the COVID-19 outbreak started in China and rapidly spread around the world. Lack of a vaccine or optimized intervention raised the importance of characterizing risk factors and symptoms for the early identification and s...
Diarrhea
Antiviral Agents
Social Media
Cough
Publications
COVID-19
Retrospective Studies
SARS-CoV-2
Risk Factors
Disease Outbreaks
Fatigue
Oxygen Inhalation Therapy
Myalgia
Betacoronavirus
Pneumonia, Viral
Humans
Fever
Machine Learning
Headache
Pandemics
Coronavirus Infections
Data Collection
Dyspnea
Artificial intelligence in pulmonary medicine: computer vision, predictive model and COVID-19.
European respiratory review : an official journal of the European Respiratory Society
Oct 1, 2020
Artificial intelligence (AI) is transforming healthcare delivery. The digital revolution in medicine and healthcare information is prompting a staggering growth of data intertwined with elements from many digital sources such as genomics, medical ima...
Blockchain in Healthcare: Insights on COVID-19.
International journal of environmental research and public health
Sep 30, 2020
The SARS-CoV2 pandemic has impacted risk management globally. Blockchain has been increasingly applied to healthcare management, as a strategic tool to strengthen operative protocols and to create the proper basis for an efficient and effective evide...
IL6-mediated HCoV-host interactome regulatory network and GO/Pathway enrichment analysis.
PLoS computational biology
Sep 30, 2020
During these days of global emergency for the COVID-19 disease outbreak, there is an urgency to share reliable information able to help worldwide life scientists to get better insights and make sense of the large amount of data currently available. I...
Analysis of COVID-19 clinical trials: A data-driven, ontology-based, and natural language processing approach.
PloS one
Sep 30, 2020
With the novel COVID-19 pandemic disrupting and threatening the lives of millions, researchers and clinicians have been recently conducting clinical trials at an unprecedented rate to learn more about the virus and potential drugs/treatments/vaccines...
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