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

• Published in: BMC pregnancy and childbirth Vol. 25; no. 1; pp. 862 - 12
• Main Authors: Huang, Yumei, Ran, Xuerong, Wang, Xueyan, Wu, Defang, Yao, Zheng, Zhai, Jinguo
• Format: Journal Article
• Language: English
• Published: England BioMed Central 18.08.2025; BMC
• Subjects: Cephalic dystocia; Machine learning; Prediction model; Risk assessment; Cephalic dystocia; Risk assessment; Machine learning; Prediction model

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 data with psychologic...