Content

Welcome to the CJU website » LOG IN

Details

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)

Abstract

Text-Size + 

  • 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.