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Evaluating the Feasibility of Machine-Learning-Based Predictive Models for Precancerous Cervical Lesions in Patients Referred for Colposcopy

Background: Colposcopy plays an essential role in cervical cancer control, but its performance remains unsatisfactory. This study evaluates the feasibility of machine learning (ML) models for predicting high-grade squamous intraepithelial lesions or worse (HSIL+) in patients referred for colposcopy...

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Detalles Bibliográficos
Autores principales:	Chen, Mingyang, Wang, Jiaxu, Xue, Peng, Li, Qing, Jiang, Yu, Qiao, Youlin
Formato:	Online Artículo Texto
Lenguaje:	English
Publicado:	MDPI 2022
Materias:	Article
Acceso en línea:	https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9776471/ https://www.ncbi.nlm.nih.gov/pubmed/36553073 http://dx.doi.org/10.3390/diagnostics12123066

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