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Updated: Aug 8, 2026
Establishing a Competing Risk Regression Nomogram Model for Survival Data
Published on: October 23, 2020
Prostate cancer nomograms are superior to neural networks
Pierre I Karakiewicz1, Felix K-H Chun, Alberto Briganti
1Department of Urology, University of Montreal, Montreal, Quebec, Canada.
Introduction:
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.
Conclusion:
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.
