Predicting intermediate-risk prostate cancer using machine learning.

Journal: International urology and nephrology
Published Date: Jan 3, 2025

Abstract

PURPOSES: Intermediate-risk prostate cancer (IR PCa) is the most common risk group for localized prostate cancer. This study aimed to develop a machine learning (ML) model that utilizes biopsy predictors to estimate the probability of IR PCa and assess its performance compared to the traditional clinical model.

Authors

  • Miroslav Stojadinovic
    Department of Urology, Clinic of Urology and Nephrology, Clinical Centre Kragujevac, Serbia. Electronic address: midinac@EUnet.rs.
  • Milorad Stojadinovic
    Clinic for Nephrology, University Clinical Center of Serbia, Belgrade, Serbia.
  • Slobodan Jankovic
    Faculty of Medical Sciences, Pharmacology and Toxicology Department, University of Kragujevac, Kragujevac, Serbia.

Keywords

External Resources

Popular Topics
Recent Journals