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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| creator | Seker, H. Odetayo, M.O. Petrovic, D. Naguib, R.N.G. Hamdy, F.C. |
| description | 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_str_mv | 10.1109/ITAB.2003.1222519 |
| format | Conference Proceeding |
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| ispartof | 4th International IEEE EMBS Special Topic Conference on Information Technology Applications in Biomedicine, 2003, 2003, p.230-233 |
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| language | eng |
| recordid | cdi_ieee_primary_1222519 |
| source | IEEE Electronic Library (IEL) Conference Proceedings |
| subjects | Artificial neural networks Decision making Fuzzy logic Fuzzy neural networks Knowledge based systems Logistics Multi-layer neural network Neural networks Prostate cancer Tumors |
| title | An intelligent hybrid neuro-fuzzy rule-based system for prognostic decision making in prostate cancer patients |
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