Assessing the risk of high-grade squamous intraepithelial lesions (HSIL+) in women with LSIL biopsies: a machine learning-based study

Assessing the risk of high-grade squamous intraepithelial lesions (HSIL+) in women with LSIL biopsies: a machine learning-based study

Abstract Objective This study aims to analyze factors associated with the missed diagnosis of high-grade squamous intraepithelial lesions (HSIL+) in patients initially diagnosed with low-grade squamous intraepithelial lesions (LSIL) through colposcopic biopsy and to develop a predictive model for as...

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Bibliographic Details
Main Authors: Dongmei Li, Zhichao Wang, Yan Liu, Meiyuan Zhou, Bo Xia, Lin Zhang, Keming Chen, Yong Zeng
Format: Article
Language:English
Published: BMC 2024-12-01
Series:Infectious Agents and Cancer
Subjects:
LSIL
HSIL
Missed diagnosis
Predictive model
Machine learning
Colposcopic biopsy
Online Access:https://doi.org/10.1186/s13027-024-00625-z
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https://doi.org/10.1186/s13027-024-00625-z

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