Interpretable Machine Learning Model for Predicting Postpartum Depression: Retrospective Study.

Journal: JMIR medical informatics
PMID: 39864955

Abstract

BACKGROUND: Postpartum depression (PPD) is a prevalent mental health issue with significant impacts on mothers and families. Exploring reliable predictors is crucial for the early and accurate prediction of PPD, which remains challenging.

Authors

  • Ren Zhang
    Department of Gynecology and Obstetrics, West China Second University Hospital, Sichuan University, Key Laboratory of Birth Defects and Related Diseases of Women and Children (Sichuan University), Ministry of Education, Chengdu, China.
  • Yi Liu
    Department of Interventional Therapy, Ningbo No. 2 Hospital, Ningbo, China.
  • Zhiwei Zhang
    Department of Statistics, University of California, Riverside, California.
  • Rui Luo
    Department of Nuclear Medicine, Mianyang Central Hospital, Mianyang, 621000, China. Electronic address: luo919424962@gmail.com.
  • Bin Lv
    Ping An Healthcare Technology, Shang Hai, PR China.

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