Algorithmic Fairness of Machine Learning Models for Alzheimer Disease Progression.

Journal: JAMA network open
PMID: 37934495

Abstract

IMPORTANCE: Predictive models using machine learning techniques have potential to improve early detection and management of Alzheimer disease (AD). However, these models potentially have biases and may perpetuate or exacerbate existing disparities.

Authors

  • Chenxi Yuan
    Department of Biostatistics, Epidemiology, and Informatics, Perelman School of Medicine, University of Pennsylvania, Philadelphia.
  • Kristin A Linn
    Department of Biostatistics and Epidemiology, University of Pennsylvania, Philadelphia, PA, USA. Electronic address: klinn@upenn.edu.
  • Rebecca A Hubbard
    Department of Biostatistics, Epidemiology and Informatics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA.

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