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

Ethics, Privacy, and Legal Issues (648) Artificial Intelligence (2297) Machine Learning (2199)

Published on in Vol 25 (2023)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/47609, first published .
Developer Perspectives on Potential Harms of Machine Learning Predictive Analytics in Health Care: Qualitative Analysis

Developer Perspectives on Potential Harms of Machine Learning Predictive Analytics in Health Care: Qualitative Analysis

Developer Perspectives on Potential Harms of Machine Learning Predictive Analytics in Health Care: Qualitative Analysis

Authors of this article:

Ariadne A Nichol1 Author Orcid Image ;   Pamela L Sankar2 Author Orcid Image ;   Meghan C Halley1 Author Orcid Image ;   Carole A Federico1 Author Orcid Image ;   Mildred K Cho1 Author Orcid Image
Article Authors Cited by (7) Tweetations (3) Metrics

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  3. Mahamadou A, Trotsyuk A. Revisiting Technical Bias Mitigation Strategies. Annual Review of Biomedical Data Science 2025;8(1):287 View
  4. Huang H, Lyu W, Hasan M, Houser S. Adoption of Machine Learning in US Hospital Electronic Health Record Systems: Retrospective Observational Study. Journal of Medical Internet Research 2025;27:e76126 View
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  6. Rusinovich Y, Vareiko A, Shestak N. Human-centered Evaluation of AI and ML Projects. Web3 Journal: ML in Health Science 2024;1(2):d150224 View
  7. Nichol A, Halley M, Federico C, Cho M, Sankar P. Moral Engagement and Disengagement in Health Care AI Development. AJOB Empirical Bioethics 2024;15(4):291 View