This paper is in the following e-collection/theme issue:

Information Models (44) Clinical Information and Decision Making (1879) Decision Support for Health Professionals (1513) Machine Learning (2038) Applications of AI (273) Surgical Treatment Planning (19)

Published on in Vol 13 (2025)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/76021, first published .
Predicting Postoperative Stress Urinary Incontinence After Prolapse Surgery via Machine Learning and Regression Models: Development and Validation Study

Predicting Postoperative Stress Urinary Incontinence After Prolapse Surgery via Machine Learning and Regression Models: Development and Validation Study

Predicting Postoperative Stress Urinary Incontinence After Prolapse Surgery via Machine Learning and Regression Models: Development and Validation Study

Authors of this article:

Minna Su1 Author Orcid Image ;   Shuyu Wang1 Author Orcid Image ;   Xiaochun Liu1 Author Orcid Image
Article Authors Cited by Tweetations Metrics

Minna Su   1 , MMed ;   Shuyu Wang   1 , MMed ;   Xiaochun Liu   1 , PhD

1 Gynecology and Obstetrics Department, Third Hospital of Shanxi Medical University, Shanxi Bethune Hospital, Shanxi Academy of Medical Sciences, Taiyuan, China

Corresponding Author:

  • Xiaochun Liu, PhD
  • Gynecology and Obstetrics Department, Third Hospital of Shanxi Medical University
  • Shanxi Bethune Hospital, Shanxi Academy of Medical Sciences
  • No. 99 Longcheng Street, Xiaodian District
  • Taiyuan 030000
  • China
  • Phone: 86 13934226668
  • Email: liuxiaochun@sxbqeh.com.cn