Use of machine learning to predict early biochemical recurrence after robot-assisted prostatectomy.

Journal: BJU international
Published Date:

Abstract

OBJECTIVES: To train and compare machine-learning algorithms with traditional regression analysis for the prediction of early biochemical recurrence after robot-assisted prostatectomy.

Authors

  • Nathan C Wong
    Division of Urology, Department of Surgery, McMaster University, Hamilton, ON, Canada.
  • Cameron Lam
    Division of Urology, Department of Surgery, McMaster University, Hamilton, ON, Canada.
  • Lisa Patterson
    Division of Urology, Department of Surgery, McMaster University, Hamilton, ON, Canada.
  • Bobby Shayegan
    Division of Urology, Department of Surgery, McMaster University, Hamilton, ON, Canada.