Predicting cancer mortality using machine learning methods: a global vs. Iran analysis.

Journal: BMC cancer
Published Date:

Abstract

BACKGROUND: Cancer remains a leading cause of morbidity and mortality worldwide, with significant variations in incidence, mortality, and survival rates across regions. This study leverages Machine Learning (ML) to analyze global and Iran-specific cancer data, aiming to improve predictive accuracy for cancer mortality.

Authors

  • Hossein Sadeghi
    Department of Physics, Faculty of Sciences, Arak University, Arak, 38156-8-8349, Iran.
  • Fatemeh Seif
    Department of Radiotherapy and Medical Physics, Arak University of Medical Sciences & Khansari Hospital, Arak, Iran.

Keywords

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