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Early Results from COVID-19 Studies (457) Big Data (433) Advanced Data Analytics in eHealth (349) Secondary Use of Clinical Data for Research and Surveillance (629) Machine Learning (3147) Research Methodology - AI (174) Responsible Health AI (223)

Published on in Vol 10 (2026)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/88406, first published .
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A Systematic Evaluation of Cohort Selection Criteria and Their Impact on Machine Learning Model Performance and Demographic Disparities in COVID-19 Outcomes: Cohort Study

A Systematic Evaluation of Cohort Selection Criteria and Their Impact on Machine Learning Model Performance and Demographic Disparities in COVID-19 Outcomes: Cohort Study

Authors of this article:

Atefehsadat Haghighathoseini1 Author Orcid Image ;   Janusz Wojtusiak1 Author Orcid Image ;   Hua Min1 Author Orcid Image ;   Nirup M Menon2 Author Orcid Image
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Atefehsadat Haghighathoseini   1 , PhD ;   Janusz Wojtusiak   1 , PhD ;   Hua Min   1 , PhD ;   Nirup M Menon   2 , PhD

1 Department of Health Administration, Policy and Informatics, George Mason University, Fairfax, VA, United States

2 Information Systems and Operations Management, Costello College of Business, George Mason University, Fairfax, VA, United States

Corresponding Author:

  • Atefehsadat Haghighathoseini, PhD
  • Department of Health Administration, Policy and Informatics
  • George Mason University
  • 4400 University Dr
  • Fairfax, VA 22030
  • United States
  • Phone: +1 (703) 993-1929
  • Email: ahoseini@gmu.edu