Construction and Validation of a Model for Predicting Cervical Intraepithelial Neoplasia Grade II+: A Cross-Sectional Population Study via Machine Learning
The TCT+HPV-integrated model outperformed the TCT-only model in predicting CIN II+, supporting the incorporation of HPV testing into routine screening to enhance early diagnostic accuracy.
Authors
- Shu‐Guang Zhou (ORCID: https://orcid.org/0000-0003-0148-947X)
- Juan He (ORCID: https://orcid.org/0000-0002-8853-5055)
- Yufeng He (ORCID: https://orcid.org/0000-0002-3468-2826)
- Jingjing Hu (ORCID: https://orcid.org/0000-0002-1449-6137)
- Min Zhou (ORCID: https://orcid.org/0000-0001-5509-6845)
- Lan Xiang (ORCID: https://orcid.org/0000-0001-6595-2836)
- Kai Chen (ORCID: https://orcid.org/0009-0000-5400-0637)
- Xuemei Wang (ORCID: https://orcid.org/0000-0003-0298-9695)
- Ya‐Xing Fang (ORCID: https://orcid.org/0000-0001-6146-9214)
Institutions
- Anhui Medical University (CN)
- Fuyang Maternity and Child Health Care Hospital (CN)
- Anhui Provincial Hospital (CN)
- First Affiliated Hospital of Anhui Medical University (CN)
- Anhui Provincial Children's Hospital (CN)
- Third People's Hospital of Hefei (CN)
- Hefei First People's Hospital (CN)
- Hefei Infectious Disease Hospital (CN)
Publication Details
- Journal
- International Journal of Women s Health
- Published
- 2025-12-01
- DOI
- https://doi.org/10.2147/ijwh.s554552
- Primary Topic
- Cervical Cancer and HPV Research
- Type
- article
- Field-Weighted Citation Impact
- 0.00
Funders
- Strong
- Anhui Medical University