Interpretable Machine Learning Model for Predicting Postpartum Depression: Retrospective Study

Interpretable Machine Learning Model for Predicting Postpartum Depression: Retrospective Study

Abstract BackgroundPostpartum 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. ObjectiveThis study...

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Bibliographic Details
Main Authors:	Ren Zhang, Yi Liu, Zhiwei Zhang, Rui Luo, Bin Lv
Format:	Article
Language:	English
Published:	JMIR Publications 2025-01-01
Series:	JMIR Medical Informatics
Online Access:	https://medinform.jmir.org/2025/1/e58649
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