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Development of a machine learning-based model for predicting positive margins in high-grade squamous intraepithelial lesion (HSIL) treatment by Cold Knife Conization(CKC): a single-center retrospective study

Abstract Objectives This study aims to analyze factors associated with positive surgical margins following cold knife conization (CKC) in patients with cervical high-grade squamous intraepithelial lesion (HSIL) and to develop a machine-learning-based risk prediction model. Method We conducted a retr...

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Principais autores: Lin Zhang, Yahong Zheng, Lingyu Lei, Xufeng Zhang, Jing Yang, Yong Zeng, Keming Chen
Format: Artigo
Sprog:Inglês
Udgivet: BMC 2024-06-01
Serier:BMC Women's Health
Fag:
HSIL
CKC
Positive margin
Predictive model
Machine learning
Online adgang:https://doi.org/10.1186/s12905-024-03180-2
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