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).
|Title of host publication||Information Technology Applications in Biomedicine, 2003. 4th International IEEE EMBS Special Topic Conference on|
|Publication status||Published - 2003|
This paper is not available on the repository. The paper was given at the 4th International IEEE EMBS Special Topic Conference on, 24-26 April 2003