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

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

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...

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Bibliographische Detailangaben
Hauptverfasser: Seker, H., Odetayo, M.O., Petrovic, D., Naguib, R.N.G., Hamdy, F.C.
Format: Tagungsbericht
Sprache:eng
Schlagworte:
Artificial neural networks
Decision making
Fuzzy logic
Fuzzy neural networks
Knowledge based systems
Logistics
Multi-layer neural network
Neural networks
Prostate cancer
Tumors
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Beschreibung
Zusammenfassung: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).
DOI:10.1109/ITAB.2003.1222519