Comparative analysis of machine learning approaches for predicting the risk of vaginal laxity

Comparative analysis of machine learning approaches for predicting the risk of vaginal laxity

Abstract This study develops predictive models for Chinese female patients with VL utilizing machine learning techniques. The aim is to create an effective model that can assist in clinical diagnosis and treatment of vaginal relaxation, thereby enhancing women’s pelvic floor health. In total, 1184 w...

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Bibliographic Details
Main Authors: Hongguo Zhao, Peng Liu, Fei Chen, Mengjuan Wang, Jiaxi Liu, Xiling Fu, Hang Yu, Manman Nai, Lei Li, Xinbin Li
Format: Article
Language:English
Published: Nature Portfolio 2025-01-01
Series:Scientific Reports
Subjects:
Vaginal laxity
Machine learning
Modified Oxford muscle strength grading
Pelvic floor pressure assessment
Online Access:https://doi.org/10.1038/s41598-025-86931-x
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https://doi.org/10.1038/s41598-025-86931-x

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