Machine learning-based colorectal cancer prediction using global dietary data.

Journal: BMC cancer
Published Date:

Abstract

BACKGROUND: Colorectal cancer (CRC) is the third most commonly diagnosed cancer worldwide. Active health screening for CRC yielded detection of an increasingly younger adults. However, current machine learning algorithms that are trained using older adults and smaller datasets, may not perform well in practice for large populations.

Authors

  • Hanif Abdul Rahman
    University of Michigan, Ann Arbor, USA. hanifr@umich.edu.
  • Mohammad Ashraf Ottom
    Department of Information SystemsYarmouk University Irbid 21163 Jordan.
  • Ivo D Dinov
    Laboratory of Neuro Imaging, USC Mark and Mary Stevens Neuroimaging and Informatics Institute, Keck School of Medicine of USC, University of Southern California, Los Angeles, CA, USA; Statistics Online Computational Resource, Department of Health Behavior and Biological, University of Michigan, Ann Arbor, MI, USA.