Leveraging neighborhood-level Information to Improve Model Fairness in Predicting Prenatal Depression.

Journal: medRxiv : the preprint server for health sciences
Published Date: May 13, 2025

Abstract

IMPORTANCE: Perinatal depression (PND) affects 10-20% of pregnant women, with significant racial disparities in prevalence, screening, and treatment. Neighborhood-level factors significantly influence PND risk, particularly among women of color, but current machine learning models using electronic medical records (EMRs) rarely incorporate neighborhood characteristics.

Authors

  • Yongchao Huang
  • Suzanne Alvernaz
  • Sage J Kim
  • Pauline M Maki
  • Andrew D Boyd
  • Yang Dai
    Institute of Cardiovascular Diseases, Shanghai Jiao Tong University School of Medicine, 197 Ruijin 2nd Road, Shanghai, 200025, PR China.
  • Beatriz Peñalver Bernabé

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