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

Machine Learning (1971) Responsible Health AI (31) Myocardial Infarction (Heart Attack) (56) Stroke (226) Artificial Intelligence in Diabetes Care and Prevention (45) Decision Support for Health Professionals (1468) Clinical Information and Decision Making (1807)

Published on in Vol 13 (2025)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/66200, first published .
A Responsible Framework for Assessing, Selecting, and Explaining Machine Learning Models in Cardiovascular Disease Outcomes Among People With Type 2 Diabetes: Methodology and Validation Study

A Responsible Framework for Assessing, Selecting, and Explaining Machine Learning Models in Cardiovascular Disease Outcomes Among People With Type 2 Diabetes: Methodology and Validation Study

A Responsible Framework for Assessing, Selecting, and Explaining Machine Learning Models in Cardiovascular Disease Outcomes Among People With Type 2 Diabetes: Methodology and Validation Study

Authors of this article:

Yang Yang1 Author Orcid Image ;   Che-Yi Liao1 Author Orcid Image ;   Esmaeil Keyvanshokooh2 Author Orcid Image ;   Hui Shao3 Author Orcid Image ;   Mary Beth Weber3 Author Orcid Image ;   Francisco J Pasquel3, 4 Author Orcid Image ;   Gian-Gabriel P Garcia1 Author Orcid Image
Article Authors Cited by (1) Tweetations (1) Metrics

Yang Yang   1 * , BS ;   Che-Yi Liao   1 * , MS ;   Esmaeil Keyvanshokooh   2 , MS, PhD ;   Hui Shao   3 , MD, PhD ;   Mary Beth Weber   3 , MPH, PhD ;   Francisco J Pasquel   3, 4 , MPH, MD ;   Gian-Gabriel P Garcia   1 , MS, PhD

1 H. Milton Stewart School of Industrial and Systems Engineering, Georgia Institute of Technology, Atlanta, GA, United States

2 Department of Information and Operations Management, Mays Business School, Texas A&M University, College Station, TX, United States

3 Hubert Department of Global Health, Rollins School of Public Health, Emory University, Atlanta, GA, United States

4 Division of Endocrinology, Metabolism, and Lipids, Department of Medicine, Emory University School of Medicine, Atlanta, GA, United States

*these authors contributed equally

Corresponding Author:

  • Gian-Gabriel P Garcia, MS, PhD
  • H. Milton Stewart School of Industrial and Systems Engineering, Georgia Institute of Technology
  • 765 Ferst Dr NW
  • Atlanta, GA 30332-0001
  • United States
  • Phone: 1 404-385-3140
  • Email: giangarcia@gatech.edu