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

Review Articles (34) Big Data for Health Promotion and Health Equity (56) Clinical Information and Decision Making (2080) JMIR Theme Issue: COVID-19 Special Issue (2565) Systemic Racism and Racial Bias in Health Care and Society (134) Validity, Reliability, and Bias (117)

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 (6) Tweetations (1) Metrics

Journals

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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
  4. Jiang Z, Chen H, Wu Y, Qin Y, Pei C, Zeng D, Sheng B, Wong T. Beyond multiple-choice questions: Rethinking evaluation frameworks for large language models for clinical medicine. Intelligent Medicine 2026 View
  5. Leon M. AI-Driven Transformation: Methodologies, Governance, and Strategic Imperatives. WSEAS TRANSACTIONS ON BUSINESS AND ECONOMICS 2025:2789 View

Conference Proceedings

  1. Srinivasan N, A S H, S H. 2025 1st International Conference on Advancement in Futuristic Technologies (ICAFT). AI-Driven Multi-Disease Risk Prediction Using Routine Laboratory Data in Indian Healthcare Settings View