Development, validation, and clinical application of a machine learning model for risk stratification and management of cervical cancer screening based on full-genotyping hrHPV test (SMART-HPV): a modelling studyResearch in context

Development, validation, and clinical application of a machine learning model for risk stratification and management of cervical cancer screening based on full-genotyping hrHPV test (SMART-HPV): a modelling studyResearch in context

Summary: Background: High-risk human papillomavirus (hrHPV) full genotyping facilitates risk stratification and efficiency in cervical cancer screening, widely verified and adopted in various screening settings. We aimed develop a cervical cancer predictive model that can guide referrals for colpos...

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Bibliographic Details
Main Authors: Binhua Dong, Zhen Lu, Tianjie Yang, Junfeng Wang, Yan Zhang, Xunyuan Tuo, Juntao Wang, Shaomei Lin, Hongning Cai, Huan Cheng, Xiaoli Cao, Xinxin Huang, Zheng Zheng, Chong Miao, Yue Wang, Huifeng Xue, Shuxia Xu, Xianhua Liu, Huachun Zou, Pengming Sun
Format: Article
Language:English
Published: Elsevier 2025-02-01
Series:The Lancet Regional Health. Western Pacific
Subjects:
Prediction model
Cervical cancer
Human papillomavirus
Full genotyping
Machine learning
China
Online Access:http://www.sciencedirect.com/science/article/pii/S2666606525000173
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