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An intelligent hybrid neuro-fuzzy rule-based system for prognostic decision making in prostate cancer patients

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5 Author(s)
Seker, H. ; Sch. of Inf., Univ. of Bradford, UK ; Odetayo, M.O. ; Petrovic, D. ; Naguib, R.N.G.
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A novel hybrid neuro-fuzzy rule-based system is presented for prognostic decision making in prostate cancer patients. The results are further compared with those of multilayer feedforward backpropagation neural networks (MLFFBPNN), fuzzy k-nearest neighbour classifier (FK-NN) and logistic regression (LR).

Published in:

Information Technology Applications in Biomedicine, 2003. 4th International IEEE EMBS Special Topic Conference on

Date of Conference:

24-26 April 2003