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).
Bibliographical noteThis 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
Seker, H., Odetayo, M. O., Petrovic, D., & Naguib, R. N. G. (2003). An intelligent hybrid neuro-fuzzy rule-based system for prognostic decision making in prostate cancer patients. In Information Technology Applications in Biomedicine, 2003. 4th International IEEE EMBS Special Topic Conference on (pp. 230-233). IEEE. https://doi.org/10.1109/ITAB.2003.1222519