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

JMIR Theme Issue: COVID-19 Special Issue (2452) Artificial Intelligence (1371) Machine Learning (1465) Decision Support for Health Professionals (1185) New Methods (944) Infectious Diseases (non-STD/STI) (1575) Theme Issue: Novel Coronavirus (COVID-19) Outbreak Rapid Reports (1517) Clinical Information and Decision Making (1407) Outbreak and Pandemic Preparedness and Management (1727) Theme Issue: Medical Informatics and COVID-19 (107)

Published on in Vol 23, No 2 (2021): February

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/23026, first published .
Learning From Past Respiratory Infections to Predict COVID-19 Outcomes: Retrospective Study

Learning From Past Respiratory Infections to Predict COVID-19 Outcomes: Retrospective Study

Learning From Past Respiratory Infections to Predict COVID-19 Outcomes: Retrospective Study

Authors of this article:

Shengtian Sang1 Author Orcid Image ;   Ran Sun1 Author Orcid Image ;   Jean Coquet1 Author Orcid Image ;   Harris Carmichael2 Author Orcid Image ;   Tina Seto3 Author Orcid Image ;   Tina Hernandez-Boussard1 Author Orcid Image
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