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Data Mining a Prostate Cancer Dataset Using Neural Networks

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1 Author(s)
Revett, K. ; Sch. of Comput. Sci., Univ. of Westminster, London

Prostate cancer remains one of the leading causes of cancer death worldwide, with a reported incidence rate of 650,000 cases per annum worldwide. The causal factors of prostate cancer still remain to be determined. In this paper, we investigate a medical dataset containing clinical information on 502 prostate cancer patients using the machine learning technique of rough sets and radial basis function neural network. Our preliminary results yield a classification accuracy of 90%, with high sensitivity and specificity (both at approximately 91%). Our results yield a predictive positive value (PPN) of 81% and a predictive negative value (PNV) of 95%

Published in:

Neural Network Applications in Electrical Engineering, 2006. NEUREL 2006. 8th Seminar on

Date of Conference:

25-27 Sept. 2006