A machine learning approach to differentiate stage IV from stage I colorectal cancer.

Journal: Computers in biology and medicine
PMID: 40220595

Abstract

BACKGROUND AND AIM: The stage at which Colorectal cancer (CRC) diagnosed is a crucial prognostic factor. Our study proposed a novel approach to aid in the diagnosis of stage IV CRC by utilizing supervised machine learning, analyzing clinical history, and laboratory values, comparing them with those of stage I CRC.

Authors

  • Naim Abu-Freha
    Institute of Gastroenterology and Hepatology, Soroka University Medical Center, Faculty of Health Sciences, Ben-Gurion University of the Negev, Beer-Sheva, Israel. Electronic address: abufreha@yahoo.de.
  • Zaid Afawi
    Clalit Health Services, Southern District, Beer-Sheva, Israel.
  • Miar Yousef
    Lady Davis Carmel Medical Center, Haifa, Israel.
  • Walid Alamor
    Internal Medicine Department, Soroka University Medical Center, Beer-Sheva, Israel.
  • Noor Sanalla
    Internal Medicine Department, Soroka University Medical Center, Beer-Sheva, Israel.
  • Simon Esbit
    Medical School for International Health, Ben-Gurion University of the Negev, Beer-Sheva, Israel.
  • Malik Yousef
    Department of Information Systems, Zefat Academic College, Zefat, Israel.

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