Sex-Based Performance Disparities in Machine Learning Algorithms for Cardiac Disease Prediction: Exploratory Study.

Journal: Journal of medical Internet research
PMID: 39186324

Abstract

BACKGROUND: The presence of bias in artificial intelligence has garnered increased attention, with inequities in algorithmic performance being exposed across the fields of criminal justice, education, and welfare services. In health care, the inequitable performance of algorithms across demographic groups may widen health inequalities.

Authors

  • Isabel Straw
    Department of Public Health, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania, United States of America.
  • Geraint Rees
    Institute of Neurology, University College London, London, WC1N 3BG, UK.
  • Parashkev Nachev
    Institute of Neurology, University College London, London, WC1N 3BG, UK.

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