Machine Learning to Predict Mortality and Critical Events in a Cohort of Patients With COVID-19 in New York City: Model Development and Validation.
Journal:
Journal of medical Internet research
Published Date:
Nov 6, 2020
Abstract
BACKGROUND: COVID-19 has infected millions of people worldwide and is responsible for several hundred thousand fatalities. The COVID-19 pandemic has necessitated thoughtful resource allocation and early identification of high-risk patients. However, effective methods to meet these needs are lacking.
Authors
Keywords
Acute Kidney Injury
Adolescent
Adult
Aged
Aged, 80 and over
Betacoronavirus
Cohort Studies
Coronavirus Infections
COVID-19
Electronic Health Records
Female
Hospital Mortality
Hospitalization
Hospitals
Humans
Machine Learning
Male
Middle Aged
New York City
Pandemics
Pneumonia, Viral
Prognosis
Risk Assessment
ROC Curve
SARS-CoV-2
Young Adult