Integrating SHAP analysis with machine learning to predict postpartum hemorrhage in vaginal births

Abstract Objective This study aimed to develop a machine learning (ML) model integrated with SHapley Additive exPlanations (SHAP) analysis to predict postpartum hemorrhage (PPH) following vaginal deliveries, offering a potential tool for personalized risk assessment and prevention in clinical settin...

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Bibliographic Details
Main Authors:	Zixuan Song, Hong Lin, Mengyuan Shao, Xiaoxue Wang, Xueting Chen, Yangzi Zhou, Dandan Zhang
Format:	Article
Language:	English
Published:	BMC 2025-05-01
Series:	BMC Pregnancy and Childbirth
Subjects:	Postpartum hemorrhage Vaginal births Interpretable model XGBoost SHAP
Online Access:	https://doi.org/10.1186/s12884-025-07633-w
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Integrating SHAP analysis with machine learning to predict postpartum hemorrhage in vaginal births

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