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© 2003 IEEE.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 publication

DOI

10.1109/ITAB.2003.1222519

Type

Conference paper

Publication Date

01/01/2003

Volume

2003-January

Pages

173 - 176