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

Machine Learning (2257) Public (e)Health, Digital Epidemiology and Public Health Informatics (1126) Patient Education for Cancer (251) Information Seeking, Information Needs (587) Information Demand (50)

Published on in Vol 14 (2026)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/75862, first published .
Comparison of Feature Selection Methods in Machine Learning Models of Cancer Information Seeking Among United States Adults: Cross-Sectional Study

Comparison of Feature Selection Methods in Machine Learning Models of Cancer Information Seeking Among United States Adults: Cross-Sectional Study

Comparison of Feature Selection Methods in Machine Learning Models of Cancer Information Seeking Among United States Adults: Cross-Sectional Study

Authors of this article:

Ying Liu1 Author Orcid Image ;   Kesheng Wang2, 3 Author Orcid Image
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Ying Liu   1 * , PhD ;   Kesheng Wang   2, 3 * , PhD

1 Department of Biostatistics and Epidemiology, College of Public Health, East Tennessee State University, Johnson City, TN, United States

2 Cancer Survivorship Research Center, College of Nursing, University of South Carolina, Columbia, SC, United States

3 Department of Epidemiology and Biostatistics, Arnold School of Public Health, University of South Carolina, Columbia, SC, United States

*all authors contributed equally

Corresponding Author:

  • Ying Liu, PhD
  • Department of Biostatistics and Epidemiology, College of Public Health
  • East Tennessee State University
  • P.O. Box 70259
  • 1276 Gilbreath Dr.
  • Johnson City, TN 37601
  • United States
  • Phone: 1 4234396662
  • Email: liuy09@etsu.edu