AIMC Topic: Coronavirus Infections
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Clinical Characteristics and Prognostic Factors for Intensive Care Unit Admission of Patients With COVID-19: Retrospective Study Using Machine Learning and Natural Language Processing.
Journal of medical Internet research
Oct 28, 2020
BACKGROUND: Many factors involved in the onset and clinical course of the ongoing COVID-19 pandemic are still unknown. Although big data analytics and artificial intelligence are widely used in the realms of health and medicine, researchers are only ...
Humans
Machine Learning
Pandemics
COVID-19
Prognosis
Retrospective Studies
Intensive Care Units
Electronic Health Records
Female
SARS-CoV-2
Hospitalization
Aged
Adult
Male
Middle Aged
Treatment Outcome
Natural Language Processing
Emergency Service, Hospital
Coronavirus Infections
Spain
Betacoronavirus
Pneumonia, Viral
Country-level pandemic risk and preparedness classification based on COVID-19 data: A machine learning approach.
PloS one
Oct 28, 2020
In this work we present a three-stage Machine Learning strategy to country-level risk classification based on countries that are reporting COVID-19 information. A K% binning discretisation (K = 25) is used to create four risk groups of countries base...
Support Vector Machine
Forecasting
Reagent Kits, Diagnostic
Humans
Disaster Planning
SARS-CoV-2
Decision Trees
International Cooperation
Machine Learning
Global Health
Coronavirus Infections
Clinical Laboratory Techniques
Pandemics
Risk Assessment
COVID-19 Testing
Betacoronavirus
COVID-19
Models, Theoretical
Classification
Pneumonia, Viral
Algorithms
Artificial Intelligence for COVID-19: Rapid Review.
Journal of medical Internet research
Oct 27, 2020
BACKGROUND: COVID-19 was first discovered in December 2019 and has since evolved into a pandemic.
COSMO-RS-Based Descriptors for the Machine Learning-Enabled Screening of Nucleotide Analogue Drugs against SARS-CoV-2.
The journal of physical chemistry letters
Oct 26, 2020
Chemical similarity-based approaches employed to repurpose or develop new treatments for emerging diseases, such as COVID-19, correlates molecular structure-based descriptors of drugs with those of a physiological counterpart or clinical phenotype. W...
The implementation of a rapid sample preparation method for the detection of SARS-CoV-2 in a diagnostic laboratory in South Africa.
PloS one
Oct 20, 2020
The SARS-CoV-2 pandemic has resulted in shortages of both critical reagents for nucleic acid purification and highly trained staff as supply chains are strained by high demand, public health measures and frequent quarantining and isolation of staff. ...
Sensitivity and Specificity
Reverse Transcriptase Polymerase Chain Reaction
Robotics
South Africa
RNA, Viral
Pneumonia, Viral
Coronavirus Infections
Humans
COVID-19 Testing
Pandemics
Specimen Handling
COVID-19
Laboratories, Hospital
Reproducibility of Results
Clinical Laboratory Techniques
SARS-CoV-2
Betacoronavirus
Application of an Artificial Intelligence Trilogy to Accelerate Processing of Suspected Patients With SARS-CoV-2 at a Smart Quarantine Station: Observational Study.
Journal of medical Internet research
Oct 14, 2020
BACKGROUND: As the COVID-19 epidemic increases in severity, the burden of quarantine stations outside emergency departments (EDs) at hospitals is increasing daily. To address the high screening workload at quarantine stations, all staff members with ...
Natural Language Processing Reveals Vulnerable Mental Health Support Groups and Heightened Health Anxiety on Reddit During COVID-19: Observational Study.
Journal of medical Internet research
Oct 12, 2020
BACKGROUND: The COVID-19 pandemic is impacting mental health, but it is not clear how people with different types of mental health problems were differentially impacted as the initial wave of cases hit.
Young Adult
Adult
Mental Health
Male
Global Health
Middle Aged
Humans
Pandemics
COVID-19
Female
SARS-CoV-2
Natural Language Processing
Anxiety
Coronavirus Infections
Adolescent
Borderline Personality Disorder
Suicidal Ideation
Self-Help Groups
Stress Disorders, Post-Traumatic
Betacoronavirus
Social Media
Pneumonia, Viral
A comprehensive study on classification of COVID-19 on computed tomography with pretrained convolutional neural networks.
Scientific reports
Oct 9, 2020
The use of imaging data has been reported to be useful for rapid diagnosis of COVID-19. Although computed tomography (CT) scans show a variety of signs caused by the viral infection, given a large amount of images, these visual features are difficult...
Development and evaluation of an artificial intelligence system for COVID-19 diagnosis.
Nature communications
Oct 9, 2020
Early detection of COVID-19 based on chest CT enables timely treatment of patients and helps control the spread of the disease. We proposed an artificial intelligence (AI) system for rapid COVID-19 detection and performed extensive statistical analys...
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...
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