Published on in Vol 11 (2025)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/64506, first published .
Predicting Early-Onset Colorectal Cancer in Individuals Below Screening Age Using Machine Learning and Real-World Data: Case Control Study

Predicting Early-Onset Colorectal Cancer in Individuals Below Screening Age Using Machine Learning and Real-World Data: Case Control Study

Predicting Early-Onset Colorectal Cancer in Individuals Below Screening Age Using Machine Learning and Real-World Data: Case Control Study

Chengkun Sun   1 , MS ;   Erin Mobley   2, 3 , PhD ;   Michael Quillen   4 , MD ;   Max Parker   4 , MD ;   Meghan Daly   3 , MD ;   Rui Wang   5 , PhD ;   Isabela Visintin   3 , MD ;   Ziad Awad   3 , MD ;   Jennifer Fishe   6 , MD ;   Alexander Parker   2, 7 , PhD ;   Thomas George   2, 4 , MD ;   Jiang Bian   8 , PhD ;   Jie Xu   1 , PhD

1 Department of Health Outcomes and Biomedical Informatics, College of Medicine, University of Florida, Gainesville, FL, United States

2 University of Florida Health Cancer Center, University of Florida, Gainesville, FL, United States

3 Department of Surgery, University of Florida, Jacksonville, FL, United States

4 Department of Medicine, University of Florida, Gainesville, FL, United States

5 Center for Data Solutions, University of Florida, Jacksonville, FL, United States

6 Department of Emergency Medicine, University of Florida, Jacksonville, FL, United States

7 College of Medicine, University of Florida, Jacksonville, FL, United States

8 Indiana University Indianapolis, Indianapolis, IN, United States

Corresponding Author:

  • Jie Xu, PhD
  • Department of Health Outcomes and Biomedical Informatics, College of Medicine
  • University of Florida
  • 1889 Museum Road, Office 7020
  • Gainesville, FL 32611
  • United States
  • Phone: 1 3526279467
  • Email: xujie@ufl.edu