Development and validation of a machine learning model for prediction of cephalic dystocia

Development and validation of a machine learning model for prediction of cephalic dystocia

Abstract Background Early detection of cephalic dystocia is challenging, and current clinical assessment tools are limited. Machine learning offers unique advantages, enabling the generation of predictive models using various types of clinical data. Our model aims to integrate objective ultrasound d...

Full description

Saved in:
Bibliographic Details
Main Authors: Yumei Huang, Xuerong Ran, Xueyan Wang, Defang Wu, Zheng Yao, Jinguo Zhai
Format: Article
Language:English
Published: BMC 2025-08-01
Series:BMC Pregnancy and Childbirth
Subjects:
Machine learning
Cephalic dystocia
Risk assessment
Prediction model
Online Access:https://doi.org/10.1186/s12884-025-07972-8
Tags: Add Tag
No Tags, Be the first to tag this record!

Internet

https://doi.org/10.1186/s12884-025-07972-8

Similar Items