Abstract
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).
Original language | English |
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Title of host publication | Information Technology Applications in Biomedicine, 2003. 4th International IEEE EMBS Special Topic Conference on |
Publisher | IEEE |
Pages | 230-233 |
ISBN (Print) | 0-7803-7667-6 |
DOIs | |
Publication status | Published - 2003 |