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

JMIR Theme Issue: COVID-19 Special Issue (2452) Decision Support for Health Professionals (1185) Clinical Information and Decision Making (1407) Machine Learning (1465) Outbreak and Pandemic Preparedness and Management (1727) Infectious Diseases (non-STD/STI) (1575) Theme Issue: Novel Coronavirus (COVID-19) Outbreak Rapid Reports (1517)
Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/29514, first published .
Predictive Modeling of Morbidity and Mortality in Patients Hospitalized With COVID-19 and its Clinical Implications: Algorithm Development and Interpretation

Predictive Modeling of Morbidity and Mortality in Patients Hospitalized With COVID-19 and its Clinical Implications: Algorithm Development and Interpretation

Predictive Modeling of Morbidity and Mortality in Patients Hospitalized With COVID-19 and its Clinical Implications: Algorithm Development and Interpretation

Authors of this article:

Joshua M Wang1, 2, 3 Author Orcid Image ;   Wenke Liu1, 2 Author Orcid Image ;   Xiaoshan Chen4 Author Orcid Image ;   Michael P McRae5 Author Orcid Image ;   John T McDevitt5 Author Orcid Image ;   David Fenyö1, 2, 6 Author Orcid Image
Article Authors Cited by (10) Tweetations (2) Metrics
All Time | Last Month | Last Six Months | Last Year
There are currently no tweets available for this article within the specified range.