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

Osama Dasa   1, 2 , MD, MPH, PhD ;   Chen Bai   3 , MS ;   Ruba Sajdeya   1 , MD, PhD ;   Stephen E Kimmel   1 , MD, MSCE ;   Carl J Pepine   2 , MD ;   Matthew J Gurka J   4 , PhD ;   Reinhard Laubenbacher   5 , PhD ;   Thomas A Pearson   1 , MD, MPH, PhD ;   Mamoun T Mardini   3 , MS, PhD

1 Department of Epidemiology, College of Public Health and Health Professions and College of Medicine, University of Florida, Gainesville, FL, United States

2 Division of Cardiovascular Medicine, Department of Medicine, University of Florida, Gainesville, FL, United States

3 Department of Health Outcomes and Biomedical Informatics, University of Florida, Gainesville, FL, United States

4 Department of Public Health Sciences, School of Medicine, University of Virginia, Charlottesville, VA, United States

5 Laboratory for Systems Medicine, Division of Pulmonary, Critical Care, and Sleep Medicine, Department of Medicine, University of Florida, Gainesville, FL, United States

Corresponding Author:

  • Osama Dasa, MD, MPH, PhD
  • Department of Epidemiology
  • College of Public Health and Health Professions and College of Medicine
  • University of Florida
  • PO Box 100238
  • Gainesville, FL, 32610
  • United States
  • Phone: 1 3527331234
  • Fax: 1 3522650379
  • Email: osama.dasa@gmail.com