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

JMIR Theme Issue: COVID-19 Special Issue (2094) Decision Support for Health Professionals (739) Clinical Information and Decision Making (909) Machine Learning (1009) Outbreak and Pandemic Preparedness and Management (1458) Infectious Diseases (non-STD/STI) (1225) Theme Issue: Novel Coronavirus (COVID-19) Outbreak Rapid Reports (1331)
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 Wang 1, 2, 3 Author Orcid Image ;   Wenke Liu 1, 2 Author Orcid Image ;   Xiaoshan Chen 4 Author Orcid Image ;   Michael P McRae 5 Author Orcid Image ;   John T McDevitt 5 Author Orcid Image ;   David Fenyö 1, 2, 6 Author Orcid Image
Article Authors Cited by (8) Tweetations (2) Metrics
Joshua M Wang 1, 2, 3 , BSc ;   Wenke Liu 1, 2 , PhD ;   Xiaoshan Chen 4 , MD ;   Michael P McRae 5 , PhD ;   John T McDevitt 5 , PhD ;   David Fenyö 1, 2, 6 , PhD

1 Institute for Systems Genetics , NYU Grossman School of Medicine , New York , NY , US

2 Department of Biochemistry and Molecular Pharmacology , NYU Grossman School of Medicine , New York , NY , US

3 Vilcek Institute of Graduate Biomedical Sciences , NYU Grossman School of Medicine , New York , NY , US

4 Department of Medicine , NYU Grossman School of Medicine , New York , NY , US

5 Department of Biomaterials , Bioengineering Institute , New York University , New York , NY , US

6 NYU Langone Health , New York , NY , US

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