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

Cancer Survivorship (339) Machine Learning (2095) Colon and Rectal Cancer (50) Cancer Prognosis Models and Machine Learning (69) Secondary Use of Clinical Data for Research and Surveillance (475)

Published on in Vol 11 (2025)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/72665, first published .
Comparison of Machine Learning Models for Colon Cancer Survival: Predictive Modeling Approach

Comparison of Machine Learning Models for Colon Cancer Survival: Predictive Modeling Approach

Comparison of Machine Learning Models for Colon Cancer Survival: Predictive Modeling Approach

Authors of this article:

Reuben Adatorwovor1 Author Orcid Image ;   Motolani E Ogunsanya2 Author Orcid Image ;   Bin Huang3 Author Orcid Image ;   Richard Charnigo4 Author Orcid Image ;   Olufunmilola Abraham5 Author Orcid Image
Article Authors Cited by Tweetations Metrics

Reuben Adatorwovor   1 , PhD ;   Motolani E Ogunsanya   2 , DPH, PhD ;   Bin Huang   3 , DrPH ;   Richard Charnigo   4 , PhD ;   Olufunmilola Abraham   5 , BPharm, MS, PhD

1 Department of Biostatistics, College of Public Health, University of Kentucky, Lexington, KY, United States

2 TSET Health Promotion Research Center, Department of Family and Preventive Medicine, University of Oklahoma Health Sciences Center, Oklahoma City, OK, United States

3 Department of Internal Medicine, College of Medicine, University of Kentucky, Lexington, KY, United States

4 Dr. Bing Zhang Department of Statistics, College of Arts and Sciences, University of Kentucky, Lexington, KY, United States

5 Department of Pharmacy Practice and Science, College of Pharmacy, University of Kentucky, Lexington, KY, United States

Corresponding Author:

  • Reuben Adatorwovor, PhD
  • Department of Biostatistics
  • College of Public Health, University of Kentucky
  • 760 Rose street, Suite 208H
  • Lexington, KY 40536
  • United States
  • Phone: 1 859-218-0959
  • Email: radatorwovor@uky.edu