Prediction of preterm birth using machine learning: a comprehensive analysis based on large-scale preschool children survey data in Shenzhen of China

Prediction of preterm birth using machine learning: a comprehensive analysis based on large-scale preschool children survey data in Shenzhen of China

Abstract Background Preterm birth (PTB) is a significant cause of neonatal mortality and long-term health issues. Accurate prediction and timely prevention of PTB are essential for reducing associated child mortality and morbidity. Traditional predictive methods face challenges due to heterogeneous...

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Bibliographic Details
Main Authors: Liwen Ding, Xiaona Yin, Guomin Wen, Dengli Sun, Danxia Xian, Yafen Zhao, Maolin Zhang, Weikang Yang, Weiqing Chen
Format: Article
Language:English
Published: BMC 2024-12-01
Series:BMC Pregnancy and Childbirth
Subjects:
Preterm birth
Machine learning
Prediction model
SHAP
Multiple pregnancies
Threatened abortion
Online Access:https://doi.org/10.1186/s12884-024-06980-4
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https://doi.org/10.1186/s12884-024-06980-4

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