Development and validation of a machine learning model for predicting intrapartum fever using pre-labor analgesia clinical indicators: a multicenter retrospective study

Development and validation of a machine learning model for predicting intrapartum fever using pre-labor analgesia clinical indicators: a multicenter retrospective study

Abstract Background Labor anesthesia is commonly used for pain relief during labor, but it can increase the risk of intrapartum fever. Currently, there are no reliable tools to predict which parturients might develop fever before labor anesthesia. The prediction model we developed aims to predict th...

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Bibliographic Details
Main Authors: Bo Liu, Liang Ling, Fei Jia, Dayuan Wei, Huiru Li, Yuanling Li, Hongquan Xiao, Mengqiao Wang, Chunping Li, Gang Zhang, Jian Zhang
Format: Article
Language:English
Published: BMC 2025-03-01
Series:BMC Pregnancy and Childbirth
Subjects:
Intrapartum fever
Labor analgesia
Predictive models
Machine learning
Online Access:https://doi.org/10.1186/s12884-025-07203-0
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https://doi.org/10.1186/s12884-025-07203-0

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