Machine Learning Prediction of Residual and Recurrent High-Grade CIN Post-LEEP
This ML-based predictive model for post-LEEP high-grade CIN provides a significant advancement in gynecologic oncology, enhancing personalized patient care and facilitating early intervention and informed clinical decision-making.
Authors
- Furui Zhai (ORCID: https://orcid.org/0000-0002-0365-3627)
- Ze Lv
- Yinghui Song (ORCID: https://orcid.org/0000-0002-6592-6678)
- Shanshan Mu (ORCID: https://orcid.org/0000-0003-3182-8559)
- Min Zhang (ORCID: https://orcid.org/0000-0002-4863-9431)
- Cui Zhang (ORCID: https://orcid.org/0000-0003-0886-6274)
Institutions
- Cangzhou Central Hospital (CN)
Publication Details
- Journal
- Cancer Management and Research
- Published
- 2024-09-01
- DOI
- https://doi.org/10.2147/cmar.s484057
- Citations
- 4
- Primary Topic
- Machine Learning and Data Classification
- Type
- article
- Field-Weighted Citation Impact
- 1.39