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

Innovations and Technology for Cancer Prevention and Screening (176) Clinical Information and Decision Making (1688) Machine Learning (1770) Cancer Prognosis Models and Machine Learning (28) Innovations in Cancer Diagnostic and Decision Support (82) Breast Cancer (252) Lung Cancer (49) Prostate Cancer (39) Colon and Rectal Cancer (36) Artificial Intelligence, Machine Learning, and Natural Language Processing for Public Health (63)

Published on in Vol 11 (2025)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/62833, first published .
Association Between Risk Factors and Major Cancers: Explainable Machine Learning Approach

Association Between Risk Factors and Major Cancers: Explainable Machine Learning Approach

Association Between Risk Factors and Major Cancers: Explainable Machine Learning Approach

Authors of this article:

Xiayuan Huang1 Author Orcid Image ;   Shushun Ren2 Author Orcid Image ;   Xinyue Mao3 Author Orcid Image ;   Sirui Chen3 Author Orcid Image ;   Elle Chen2 Author Orcid Image ;   Yuqi He4 Author Orcid Image ;   Yun Jiang2 Author Orcid Image
Article Authors Cited by Tweetations Metrics

Xiayuan Huang   1 , PhD ;   Shushun Ren   2 , MS ;   Xinyue Mao   3 , BS ;   Sirui Chen   3 ;   Elle Chen   2 ;   Yuqi He   4 , PhD ;   Yun Jiang   2 , MS, PhD

1 Department of Biostatistics, Yale University, New Haven, CT, United States

2 School of Nursing, University of Michigan–Ann Arbor, Ann Arbor, MI, United States

3 College of Literature Science and the Arts, University of Michigan–Ann Arbor, Ann Arbor, MI, United States

4 University Library, San Jose State University, San Jose, CA, United States

Corresponding Author:

  • Yun Jiang, MS, PhD
  • School of Nursing
  • University of Michigan–Ann Arbor
  • 400 North Ingalls Street
  • Ann Arbor, MI 48109
  • United States
  • Phone: 1 7347633705
  • Fax: 1 7346472416
  • Email: jiangyu@umich.edu