This paper is in the following e-collection/theme issue:
JMIR Theme Issue: COVID-19 Special Issue (2493) Decision Support for Health Professionals (1335) Electronic Health Records (1177) Machine Learning (1723) Theme Issue: Medical Informatics and COVID-19 (118) Theme Issue: Novel Coronavirus (COVID-19) Outbreak Rapid Reports (1530)Published on in Vol 22, No 11 (2020): November
Preprints (earlier versions) of this paper are
available at
https://preprints.jmir.org/preprint/24018, first published
.
Machine Learning to Predict Mortality and Critical Events in a Cohort of Patients With COVID-19 in New York City: Model Development and Validation
Machine Learning to Predict Mortality and Critical Events in a Cohort of Patients With COVID-19 in New York City: Model Development and Validation
Authors of this article:
Akhil Vaid1














































