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
Published in:BMC Pregnancy and Childbirth
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
Subjects:
Postpartum hemorrhage
Vaginal births
Interpretable model
XGBoost
SHAP
Online Access:https://doi.org/10.1186/s12884-025-07633-w

Internet

https://doi.org/10.1186/s12884-025-07633-w

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