A multi-variable predictive warning model for cervical cancer using clinical and SNPs data

A multi-variable predictive warning model for cervical cancer using clinical and SNPs data

IntroductionCervical cancer is the fourth most common cancer among female worldwide. Early detection and intervention are essential. This study aims to construct an early predictive warning model for cervical cancer and precancerous lesions utilizing clinical data and simple nucleotide polymorphisms...

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Bibliographic Details
Main Authors:	Xiangqin Li, Ruoqi Ning, Bing Xiao, Silu Meng, Haiying Sun, Xinran Fan, Shuang Li
Format:	Article
Language:	English
Published:	Frontiers Media S.A. 2024-02-01
Series:	Frontiers in Medicine
Subjects:	cervical cancer predictive model germline mutation SNPs clinical features
Online Access:	https://www.frontiersin.org/articles/10.3389/fmed.2024.1294230/full

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