Artificial intelligence based personalized predictive survival among colorectal cancer patients.

Journal: Computer methods and programs in biomedicine
Published Date: Feb 21, 2023

Abstract

BACKGROUND AND OBJECTIVE: Colorectal cancer is a major health concern. It is now the third most common cancer and the fourth leading cause of cancer mortality worldwide. The aim of this study was to evaluate the performance of machine learning algorithms for predicting survival of colorectal cancer patients 1 to 5 years after diagnosis, and identify the most important variables.

Authors

  • David Susič
    Department of Intelligent Systems, Jožef Stefan Institute, Ljubljana, Slovenia.
  • Shabbir Syed-Abdul
    Graduate Institute of Biomedical Informatics, College of Medicine Science and Technology, Taipei Medical University, Taipei, Taiwan;; International Center for Health Information Technology (ICHIT), Taipei Medical University, Taipei, Taiwan.
  • Erik Dovgan
    Department of Intelligent Systems, Jožef Stefan Institute, Ljubljana, Slovenia.
  • Jitendra Jonnagaddala
    School of Public Health and Community Medicine, University of New South Wales, Australia; Asia-Pacific Ubiquitous Healthcare Research Centre, University of New South Wales, Australia; Prince of Wales Clinical School, University of New South Wales, Australia.
  • Anton Gradišek
    Department of Intelligent Systems, Jožef Stefan Institute, Ljubljana, Slovenia.

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