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

JMIR Theme Issue: COVID-19 Special Issue (2388) Clinical Information and Decision Making (1314) Decision Support for Health Professionals (1127) Machine Learning (1370) Theme Issue: Medical Informatics and COVID-19 (103) Infectious Diseases (non-STD/STI) (1478) Outbreak and Pandemic Preparedness and Management (1673) Theme Issue: Novel Coronavirus (COVID-19) Outbreak Rapid Reports (1481) Intensive Care Unit (ICU) (101)

Published on in Vol 22, No 11 (2020): November

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/24225, first published .
An Easy-to-Use Machine Learning Model to Predict the Prognosis of Patients With COVID-19: Retrospective Cohort Study

An Easy-to-Use Machine Learning Model to Predict the Prognosis of Patients With COVID-19: Retrospective Cohort Study

An Easy-to-Use Machine Learning Model to Predict the Prognosis of Patients With COVID-19: Retrospective Cohort Study

Authors of this article:

Hyung-Jun Kim1 Author Orcid Image ;   Deokjae Han1 Author Orcid Image ;   Jeong-Han Kim2 Author Orcid Image ;   Daehyun Kim3 Author Orcid Image ;   Beomman Ha4 Author Orcid Image ;   Woong Seog4 Author Orcid Image ;   Yeon-Kyeng Lee5 Author Orcid Image ;   Dosang Lim5 Author Orcid Image ;   Sung Ok Hong5 Author Orcid Image ;   Mi-Jin Park5 Author Orcid Image ;   JoonNyung Heo4 Author Orcid Image
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