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

Longitudinal and Cohort Studies in Public Health (411) Innovations and Technology for Cancer Prevention and Screening (201) Clinical Information and Decision Making (1915) Methods in Cancer Research (54)

Published on in Vol 10 (2024)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/65286, first published .
Development of a Prediction Model and Risk Score for Self-Assessment and High-Risk Population Identification in Liver Cancer Screening: Prospective Cohort Study

Development of a Prediction Model and Risk Score for Self-Assessment and High-Risk Population Identification in Liver Cancer Screening: Prospective Cohort Study

Development of a Prediction Model and Risk Score for Self-Assessment and High-Risk Population Identification in Liver Cancer Screening: Prospective Cohort Study

Authors of this article:

Xue Li1 Author Orcid Image ;   Youqing Wang1 Author Orcid Image ;   Huizhang Li1 Author Orcid Image ;   Le Wang1 Author Orcid Image ;   Juan Zhu1 Author Orcid Image ;   Chen Yang2 Author Orcid Image ;   Lingbin Du1 Author Orcid Image
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Journals

  1. Xiao Y, Zou Y, Li Z, Shen Q, Liu D, Tan Y, Li H, Xiang Y. A machine learning approach for a 15-year prediction model of liver cancer incidence: Results from two large Chinese population cohorts. Annals of Epidemiology 2025;112:28 View