2024
DOI: 10.1002/jmv.70016
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Risk‐stratified management of cervical high‐grade squamous intraepithelial lesion based on machine learning

Lu Zhang,
Pu Tian,
Boning Li
et al.

Abstract: The concordance rate between conization and colposcopy‐directed biopsy (CDB) proven cervical high‐grade squamous intraepithelial lesion (HSIL) were 64−85%. We aimed to identify the risk factors associated with pathological upgrading or downgrading after conization in patients with cervical HSIL and to provide risk‐stratified management based on a machine learning predictive model.This retrospective study included patients who visited the Obstetrics and Gynecology Hospital of Fudan University from January 1 to … Show more

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