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

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

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