Development and Validation of Risk Assessment Model for Pelvic Organ Prolapse Based on A Retrospective Study with Machine Learning Algorithms
We constructed a clinically applicable risk warning system that will help clinicians to identify women at a high risk of POP.
Authors
- Dong Hyun Yang (ORCID: https://orcid.org/0000-0001-5477-558X)
- Linbo Gao (ORCID: https://orcid.org/0000-0002-7572-8990)
- Ling Mei (ORCID: https://orcid.org/0000-0001-7061-6757)
- Tao Wang (ORCID: https://orcid.org/0000-0002-4294-9690)
- Xiaoyu Niu (ORCID: https://orcid.org/0000-0002-9562-1795)
- Weixing Chen (ORCID: https://orcid.org/0000-0002-8558-4345)
Institutions
- Sichuan University (CN)
- West China Second University Hospital of Sichuan University (CN)
Publication Details
- Journal
- International Urogynecology Journal
- Published
- 2025-02-03
- DOI
- https://doi.org/10.1007/s00192-025-06046-9
- Citations
- 2
- Primary Topic
- Pelvic floor disorders treatments
- Type
- article
- Field-Weighted Citation Impact
- 3.34
Funders
- Health Commission of Sichuan Province
- Health and Family Planning Commission of Sichuan Province
- Key Technologies Research and Development Program
- National Key Research and Development Program of China
- Key Research and Development Program of Sichuan Province