Establishment and Validation of a Machine Learning-Based Prediction Model for Termination of Pregnancy via Cesarean Section
Rui Zhang,
Weixuan Sheng,
Feiran Liu
et al.
Abstract:Objective
This study aimed to investigate the risk factors of cesarean section and establish a prediction model for cesarean section based on the characteristics of pregnant women.
Methods
The clinical characteristics of 2552 singleton pregnant women who delivered a live baby between January 2020 and December 2021 were retrospectively reviewed. They were divided into vaginal delivery group (n = 1850) and cesarean section group (n = 702). These subjects were divided into… Show more
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