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Prostate cancer nomograms are superior to neural networks
Department of Urology, University of Montreal, Montreal, Quebec, Canada
Apr  2006 (Vol.  13, Issue  21, Pages( 18 - 25)


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    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.


    Our results indicate that nomograms have several advantages that distinguish them from neural networks. These are both quantitative and qualitative.


    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.