Prostate cancer nomograms are superior to neural networks.
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.
Karakiewicz
Pierre I
PI
Department of Urology, University of Montreal, Montreal, Quebec, Canada.
Chun
Felix K-H
FK
Briganti
Alberto
A
Perrotte
Paul
P
McCormack
Michael
M
Bénard
François
F
Valiquette
Luc
L
Graefen
Markus
M
Saad
Fred
F