Prediction of postpartum depression in women: development and validation of multiple machine learning models

Prediction of postpartum depression in women: development and validation of multiple machine learning models

Abstract Background Postpartum depression (PPD) is a significant public health issue. This study aimed to develop and validate machine learning (ML) models using biopsychosocial predictors to predict the risk of PPD for perinatal women and to provide several risk assessment tools for the early detec...

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Bibliographic Details
Main Authors: Weijing Qi, Yongjian Wang, Yipeng Wang, Sha Huang, Cong Li, Haoyu Jin, Jinfan Zuo, Xuefei Cui, Ziqi Wei, Qing Guo, Jie Hu
Format: Article
Language:English
Published: BMC 2025-03-01
Series:Journal of Translational Medicine
Subjects:
Postpartum depression
Machine learning
Predictive factors
Prediction model
Online Access:https://doi.org/10.1186/s12967-025-06289-6

Internet

https://doi.org/10.1186/s12967-025-06289-6

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