Interpretable machine learning model for identification and risk factor of premature rupture of membranes (PROM) and its association with nutritional inflammatory index: a retrospective study

Interpretable machine learning model for identification and risk factor of premature rupture of membranes (PROM) and its association with nutritional inflammatory index: a retrospective study

BackgroundPremature rupture of membranes (PROM) poses significant risks to both maternal and neonatal health. This study aims to construct a risk factor prediction model related to PROM by using machine learning technology and explore the association with nutritional inflammatory index.MethodsA retr...

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Bibliographic Details
Main Authors: Meng Zheng, Xiaowei Zhang, Haihong Wang, Ping Yuan, Qiulan Yu
Format: Article
Language:English
Published: Frontiers Media S.A. 2025-06-01
Series:Frontiers in Medicine
Subjects:
PROM
machine learning
nomogram
nutritional inflammation index
predictive models
Online Access:https://www.frontiersin.org/articles/10.3389/fmed.2025.1557919/full
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