title: Prostate cancer nomograms are superior to neural networks.
abstract: BACKGROUND
  Several nomograms have been developed to predict PCa related outcomes. Neural networks represent an alternative.
  
  
  METHODS
  We provide a descriptive and an analytic comparison of nomograms and neural networks, with focus on PCa detection.
  
  
  RESULTS
  Our results indicate that nomograms have several advantages that distinguish them from neural networks. These are both quantitative and qualitative.
  
  
  CONCLUSIONS
  In the field of PCa detection, nomograms appear to outweigh the benefits of neural networks. However, the neural network methodology represents a valid alternative, which should not be underestimated.
authors: Department of Urology, University of Montreal, Montreal, Quebec, Canada.
authors: Pierre I
authors: PI
authors: Karakiewicz
authors: Felix K-H
authors: FK
authors: Chun
authors: Alberto
authors: A
authors: Briganti
authors: Paul
authors: P
authors: Perrotte
authors: Michael
authors: M
authors: McCormack
authors: François
authors: F
authors: Bénard
authors: Luc
authors: L
authors: Valiquette
authors: Markus
authors: M
authors: Graefen
authors: Fred
authors: F
authors: Saad