This paper is in the following e-collection/theme issue:

Clinical Information and Decision Making (1423) JMIR Theme Issue: COVID-19 Special Issue (2457) Machine Learning (1488) Decision Support for Health Professionals (1201) Infectious Diseases (non-STD/STI) (1584) Tools, Programs and Algorithms (272) Theme Issue: Novel Coronavirus (COVID-19) Outbreak Rapid Reports (1519) Outbreak and Pandemic Preparedness and Management (1737)

Published on in Vol 24, No 1 (2022): January

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/31549, first published .
The Development and Validation of Simplified Machine Learning Algorithms to Predict Prognosis of Hospitalized Patients With COVID-19: Multicenter, Retrospective Study

The Development and Validation of Simplified Machine Learning Algorithms to Predict Prognosis of Hospitalized Patients With COVID-19: Multicenter, Retrospective Study

The Development and Validation of Simplified Machine Learning Algorithms to Predict Prognosis of Hospitalized Patients With COVID-19: Multicenter, Retrospective Study

Authors of this article:

Fang He1, 2 Author Orcid Image ;   John H Page3 Author Orcid Image ;   Kerry R Weinberg2 Author Orcid Image ;   Anirban Mishra2 Author Orcid Image
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