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

Descriptive Epidemiology and Population Size Estimates (107) JMIR Theme Issue: COVID-19 Special Issue (2452) Longitudinal and Cohort Studies in Public Health (309) Machine Learning (1465) Social Determinants of Health (33)

Published on in Vol 10 (2024)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/54421, first published .
Identifying Potential Factors Associated With Racial Disparities in COVID-19 Outcomes: Retrospective Cohort Study Using Machine Learning on Real-World Data

Identifying Potential Factors Associated With Racial Disparities in COVID-19 Outcomes: Retrospective Cohort Study Using Machine Learning on Real-World Data

Identifying Potential Factors Associated With Racial Disparities in COVID-19 Outcomes: Retrospective Cohort Study Using Machine Learning on Real-World Data

Authors of this article:

Osama Dasa1, 2 Author Orcid Image ;   Chen Bai3 Author Orcid Image ;   Ruba Sajdeya1 Author Orcid Image ;   Stephen E Kimmel1 Author Orcid Image ;   Carl J Pepine2 Author Orcid Image ;   Matthew J Gurka J4 Author Orcid Image ;   Reinhard Laubenbacher5 Author Orcid Image ;   Thomas A Pearson1 Author Orcid Image ;   Mamoun T Mardini3 Author Orcid Image
Article Authors Cited by 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.