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

JMIR Theme Issue: COVID-19 Special Issue (2388) Artificial Intelligence (1190) Machine Learning (1374) Decision Support for Health Professionals (1130) New Methods (903) Infectious Diseases (non-STD/STI) (1481) Theme Issue: Novel Coronavirus (COVID-19) Outbreak Rapid Reports (1482) Clinical Information and Decision Making (1317) Outbreak and Pandemic Preparedness and Management (1673) Theme Issue: Medical Informatics and COVID-19 (103)

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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