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Prostate cancer nomograms are superior to neural networks
Karakiewicz I. Pierre; Chun K.-H. Felix; Briganti Alberto; Perrotte Paul; McCormack Michael; Benard Francois; Valiquette Luc; Graefen Markus; Saad Fred; Department of Urology, University of Montreal, Montreal, Quebec, Canada
Apr 2006 (Vol. 13, Issue 21, Pages( 18 - 25)

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  • 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.

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