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

JMIR Theme Issue: COVID-19 Special Issue (2453) Infectious Diseases (non-STD/STI) (1576) Clinical Information and Decision Making (1411) Machine Learning (1471) Decision Support for Health Professionals (1191) Theme Issue: Medical Informatics and COVID-19 (107) Innovative Methods in Public Health and Surveillance (332) Outbreak and Pandemic Preparedness and Management (1728) Theme Issue: Apps for COVID-19 (#Apps4Covid) (136) Statistical Methods for Surveillance and Population Health (156)

Published on in Vol 23, No 3 (2021): March

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/25696, first published .
Modeling Predictive Age-Dependent and Age-Independent Symptoms and Comorbidities of Patients Seeking Treatment for COVID-19: Model Development and Validation Study

Modeling Predictive Age-Dependent and Age-Independent Symptoms and Comorbidities of Patients Seeking Treatment for COVID-19: Model Development and Validation Study

Modeling Predictive Age-Dependent and Age-Independent Symptoms and Comorbidities of Patients Seeking Treatment for COVID-19: Model Development and Validation Study

Authors of this article:

Yingxiang Huang1 Author Orcid Image ;   Dina Radenkovic2, 3 Author Orcid Image ;   Kevin Perez1 Author Orcid Image ;   Kari Nadeau4 Author Orcid Image ;   Eric Verdin1 Author Orcid Image ;   David Furman1 Author Orcid Image
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