The performance of machine learning models in predicting postpartum depression: a meta-analysis and systematic review.

Journal: Journal of reproductive and infant psychology
Published Date: Jun 9, 2025

Abstract

AIM: To evaluate the effectiveness of machine learning (ML) approaches in predicting individuals with postpartum depression (PPD), this study systematically reviewed and meta-analysed existing evidence.

Authors

  • Yu Xie
    Department of Sociology, Princeton University, Princeton, New Jersey, USA.
  • Hongxin Zheng
    School of Educational Science, Anhui Normal University, Wuhu, China.
  • Wenxin Gan
    School of Educational Science, Anhui Normal University, Wuhu, China.
  • Chen Su
    Systems Engineering Institute, People's Liberation Army, Academy of Military Sciences, Tianjin, 300161, China. suchen_wqs@126.com.
  • Mehak Shams
    School of Educational Science, Anhui Normal University, Wuhu, China.
  • Jiyu Yang
    Academic Affairs Office, XuanCheng Vocational & Technical College, Xuancheng, China.

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