Machine learning algorithms can more efficiently predict biochemical recurrence after robot-assisted radical prostatectomy.

Journal: The Prostate
Published Date: Jul 5, 2021

Abstract

OBJECTIVES: To develop a model for predicting biochemical recurrence (BCR) in patients with long follow-up periods using clinical parameters and the machine learning (ML) methods.

Authors

  • Mithat Ekşi
    Department of Urology, Bakirkoy Dr. Sadi Konuk Training and Research Hospital, Istanbul, Turkey.
  • İsmail Evren
    Department of Urology, Bakirkoy Dr. Sadi Konuk Training and Research Hospital, Istanbul, Turkey.
  • Fatih Akkas
    Department of Urology and University of Health Sciences, Erzurum Regional Training and Research Hospital, Erzurum, Turkey.
  • Yusuf Arıkan
    Department of Urology, Bakirkoy Dr. Sadi Konuk Training and Research Hospital, Istanbul, Turkey.
  • Osman Özdemir
    Department of Urology, Istanbul Bakirkoy Dr. Sadi Konuk Training and Research Hospital, University of Health Sciences, Istanbul, Turkey.
  • Deniz N Özlü
    Department of Urology, Istanbul Bakirkoy Dr. Sadi Konuk Training and Research Hospital, University of Health Sciences, Istanbul, Turkey.
  • Ali Ayten
    Department of Urology, Istanbul Bakirkoy Dr. Sadi Konuk Training and Research Hospital, University of Health Sciences, Istanbul, Turkey.
  • Selcuk Sahin
    Department of Urology, University of Health Sciences, Istanbul Bakirkoy Dr. Sadi Konuk Training and Research Hospital, Istanbul, Turkey.
  • Volkan Tugcu
    Bakirkoy Dr. Sadi Konuk Training and Research Hospital, Department of Urology, Istanbul.
  • Ali I Taşçı
    Department of Urology, Istanbul Bakirkoy Dr. Sadi Konuk Training and Research Hospital, University of Health Sciences, Istanbul, Turkey.

Keywords

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