The relationship between epigenetic biomarkers and the risk of diabetes and cancer: a machine learning modeling approach.

Journal: Frontiers in public health
PMID: 40190762

Abstract

INTRODUCTION: Epigenetic biomarkers are molecular indicators of epigenetic changes, and some studies have suggested that these biomarkers have predictive power for disease risk. This study aims to analyze the relationship between 30 epigenetic biomarkers and the risk of diabetes and cancer using machine learning modeling.

Authors

  • Shiqi Zhang
    Department of Biostatistics, University of Copenhagen, Copenhagen, Denmark.
  • Jianan Jin
    Graduate School, Zhejiang Chinese Medical University, Hangzhou, Zhejiang, China.
  • Benfeng Xu
    Graduate School, Zhejiang Chinese Medical University, Hangzhou, Zhejiang, China.
  • Qi Zheng
    School of Labor Economics, Capital University of Economics and Business, Beijing, China.
  • Haibo Mou
    Department of Oncology, Shulan (Hangzhou) Hospital, Affiliated to Zhejiang Shuren University Shulan International Medical College, Hangzhou, Zhejiang, China.

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