Predicting first time depression onset in pregnancy: applying machine learning methods to patient-reported data.

Journal: Archives of women's mental health
PMID: 38775822

Abstract

PURPOSE: To develop a machine learning algorithm, using patient-reported data from early pregnancy, to predict later onset of first time moderate-to-severe depression.

Authors

  • Tamar Krishnamurti
    Division of General Internal Medicine, University of Pittsburgh, 230 McKee Pl, Suite 600, Pittsburgh, PA, 15213, USA. tamark@pitt.edu.
  • Samantha Rodriguez
    Division of General Internal Medicine, University of Pittsburgh, 230 McKee Pl, Suite 600, Pittsburgh, PA, 15213, USA.
  • Bryan Wilder
    Machine Learning Department, Carnegie Mellon University, Pittsburgh, PA, 15213, USA.
  • Priya Gopalan
    UPMC Western Psychiatric Hospital, Pittsburgh, PA, 15213, USA.
  • Hyagriv N Simhan
    Department of OB-GYN and Reproductive Sciences, University of Pittsburgh, Pittsburgh, PA, 15213, USA.

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