This paper is in the following e-collection/theme issue:
JMIR Theme Issue: COVID-19 Special Issue (2516) Decision Support for Health Professionals (1407) Electronic Health Records (1224) Machine Learning (1844) Theme Issue: Medical Informatics and COVID-19 (119) Theme Issue: Novel Coronavirus (COVID-19) Outbreak Rapid Reports (1537)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















































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