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).
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Information Technology Applications in Biomedicine, 2003. 4th International IEEE EMBS Special Topic Conference on
Date of Conference: 24-26 April 2003