Published on in Vol 13 (2025)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/58649, first published .
Interpretable Machine Learning Model for Predicting Postpartum Depression: Retrospective Study

Interpretable Machine Learning Model for Predicting Postpartum Depression: Retrospective Study

Interpretable Machine Learning Model for Predicting Postpartum Depression: Retrospective Study

Authors of this article:

Ren Zhang1, 2 Author Orcid Image ;   Yi Liu3 Author Orcid Image ;   Zhiwei Zhang2 Author Orcid Image ;   Rui Luo4 Author Orcid Image ;   Bin Lv1 Author Orcid Image

Ren Zhang   1, 2 * , MD ;   Yi Liu   3 * , MD ;   Zhiwei Zhang   2 * , MD ;   Rui Luo   4 , MEng ;   Bin Lv   1 , MD

1 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

2 West China School of Medicine, Sichuan University, Chengdu, China

3 Department of Thoracic Surgery and Institute of Thoracic Oncology, West China Hospital, Sichuan University, Chengdu, China

4 College of Engineering, University of California, Berkeley, CA, United States

*these authors contributed equally

Corresponding Author:

  • Bin Lv, MD
  • 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
  • No 20, Section 3, Renmin South Road
  • Chengdu 610041
  • China
  • Phone: 86 13980584568
  • Email: hxlvbin@163.com