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

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

<b>Background:</b> 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 refer...

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Bibliographic Details
Main Authors: Mingyang Chen, Jiaxu Wang, Peng Xue, Qing Li, Yu Jiang, Youlin Qiao
Format: Article
Language:English
Published: MDPI AG 2022-12-01
Series:Diagnostics
Subjects:
machine learning
cervical precancers
colposcopy
predictive model
Online Access:https://www.mdpi.com/2075-4418/12/12/3066

Internet

https://www.mdpi.com/2075-4418/12/12/3066

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