Survival After Radical Cystectomy for Bladder Cancer: Development of a Fair Machine Learning Model.

Journal: JMIR medical informatics
PMID: 39671594

Abstract

BACKGROUND: Prediction models based on machine learning (ML) methods are being increasingly developed and adopted in health care. However, these models may be prone to bias and considered unfair if they demonstrate variable performance in population subgroups. An unfair model is of particular concern in bladder cancer, where disparities have been identified in sex and racial subgroups.

Authors

  • Samuel Carbunaru
    Department of Urology, New York University School of Medicine, New York, NY, United States.
  • Yassamin Neshatvar
    Department of Urology, New York University School of Medicine, New York, NY, United States.
  • Hyungrok Do
    Department of Population Health, NYU Grossman School of Medicine, New York, NY, USA.
  • Katie Murray
    Department of Urology, New York University School of Medicine, New York, NY, United States.
  • Rajesh Ranganath
    Department of Computer Science, New York University.
  • Madhur Nayan
    Department of Urology, New York University School of Medicine, New York, NY, United States.

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