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

Review Articles (34) Big Data for Health Promotion and Health Equity (50) Clinical Information and Decision Making (1985) JMIR Theme Issue: COVID-19 Special Issue (2558) Systemic Racism and Racial Bias in Health Care and Society (130) Validity, Reliability, and Bias (113)

Published on in Vol 17 (2025)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/66598, first published .
Reporting of Fairness Metrics in Clinical Risk Prediction Models Used for Precision Health: Scoping Review

Reporting of Fairness Metrics in Clinical Risk Prediction Models Used for Precision Health: Scoping Review

Reporting of Fairness Metrics in Clinical Risk Prediction Models Used for Precision Health: Scoping Review

Authors of this article:

Lillian Rountree1 Author Orcid Image ;   Yi-Ting Lin1 Author Orcid Image ;   Chuyu Liu2 Author Orcid Image ;   Maxwell Salvatore3 Author Orcid Image ;   Andrew Admon4 Author Orcid Image ;   Brahmajee Nallamothu5 Author Orcid Image ;   Karandeep Singh6 Author Orcid Image ;   Anirban Basu7 Author Orcid Image ;   Fan Bu1 Author Orcid Image ;   Bhramar Mukherjee8 Author Orcid Image
Article Authors Cited by (3) Tweetations (1) Metrics

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  3. Wang Y, Boyd A, Rountree L, Ren Y, Nyhan K, Nagar R, Higginbottom J, Ranney M, Parikh H, Mukherjee B. Ten Core Concepts for Ensuring Data Equity in Public Health. JAMA Health Forum 2026;7(1):e256031 View