This paper is in the following e-collection/theme issue:

General Articles on Innovation and Technology in Public Health (81) Clinical Information and Decision Making (1571) Longitudinal and Cohort Studies in Public Health (343) Innovations and Technology for Cancer Prevention and Screening (163) Machine Learning (1649) Digital Biomarkers and Digital Phenotyping (218)

Published on in Vol 11 (2025)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/67840, first published .
Identifying Data-Driven Clinical Subgroups for Cervical Cancer Prevention With Machine Learning: Population-Based, External, and Diagnostic Validation Study

Identifying Data-Driven Clinical Subgroups for Cervical Cancer Prevention With Machine Learning: Population-Based, External, and Diagnostic Validation Study

Identifying Data-Driven Clinical Subgroups for Cervical Cancer Prevention With Machine Learning: Population-Based, External, and Diagnostic Validation Study

Authors of this article:

Zhen Lu1 Author Orcid Image ;   Binhua Dong2, 3 Author Orcid Image ;   Hongning Cai4 Author Orcid Image ;   Tian Tian5 Author Orcid Image ;   Junfeng Wang6 Author Orcid Image ;   Leiwen Fu7 Author Orcid Image ;   Bingyi Wang8, 9 Author Orcid Image ;   Weijie Zhang1 Author Orcid Image ;   Shaomei Lin10 Author Orcid Image ;   Xunyuan Tuo11 Author Orcid Image ;   Juntao Wang12 Author Orcid Image ;   Tianjie Yang13 Author Orcid Image ;   Xinxin Huang14 Author Orcid Image ;   Zheng Zheng13 Author Orcid Image ;   Huifeng Xue15 Author Orcid Image ;   Shuxia Xu16 Author Orcid Image ;   Siyang Liu1 Author Orcid Image ;   Pengming Sun2, 3, 17 Author Orcid Image ;   Huachun Zou18, 19, 20 Author Orcid Image
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