TY - JOUR
T1 - Prostate cancer nomograms are superior to neural networks.
AU - Karakiewicz, Pierre I.
AU - Chun, Felix K H
AU - Briganti, Alberto
AU - Perrotte, Paul
AU - McCormack, Michael
AU - Bénard, François
AU - Valiquette, Luc
AU - Graefen, Markus
AU - Saad, Fred
PY - 2006/4
Y1 - 2006/4
N2 - 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.
AB - 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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M3 - Article
C2 - 16672124
AN - SCOPUS:33747125837
SN - 1195-9479
VL - 13 Suppl 2
SP - 18
EP - 25
JO - Canadian Journal of Urology
JF - Canadian Journal of Urology
ER -