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Responsible Health AI (224) Clinical Informatics (2257) Tools, Programs and Algorithms (582) mHealth for Data Collection and Research (1721) Theoretical Frameworks and Concepts (544) Safety and Error Prevention in Health (321) Development and Evaluation of Research Methods, Instruments and Tools (1322) Data Science (702)

Published on in Vol 5 (2026)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/85822, first published .
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A Simplified Metric to Streamline Between-Group Fairness Assessment for Predictive Models: Algorithm Development and Evaluation Study

A Simplified Metric to Streamline Between-Group Fairness Assessment for Predictive Models: Algorithm Development and Evaluation Study

Authors of this article:

Haoyuan Wang1 Author Orcid Image ;   Chuan Hong1 Author Orcid Image ;   Michael Pencina1 Author Orcid Image ;   Matthew Engelhard1 Author Orcid Image
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Haoyuan Wang   1 , MB ;   Chuan Hong   1 , PhD ;   Michael Pencina   1 , PhD ;   Matthew Engelhard   1 , MD, PhD

1 Department of Biostatistics and Bioinformatics, Duke University School of Medicine, Durham, NC, United States

Corresponding Author:

  • Matthew Engelhard, MD, PhD
  • Department of Biostatistics and Bioinformatics
  • Duke University School of Medicine
  • 2424 Erwin Rd
  • Durham, NC 27705
  • United States
  • Phone: 1 919-613-3665
  • Email: m.engelhard@duke.edu