DocumentCode
1897809
Title
An intelligent hybrid neuro-fuzzy rule-based system for prognostic decision making in prostate cancer patients
Author
Seker, Huseyin ; Odetayo, Michael O. ; Petrovic, Dobrila ; Naguib, Raouf N G ; Hamdy, F.C.
Author_Institution
Sch. of Inf., Univ. of Bradford, UK
fYear
2003
fDate
24-26 April 2003
Firstpage
230
Lastpage
233
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).
Keywords
algorithm theory; cancer; decision making; diagnostic expert systems; feedforward neural nets; medical expert systems; singular value decomposition; statistical analysis; tumours; fuzzy nearest neighbour classifier; intelligent hybrid neuro-fuzzy rule-based system; logistic regression; multilayer feedforward backpropagation neural networks; prognostic decision making; prostate cancer patients; Artificial neural networks; Decision making; Fuzzy logic; Fuzzy neural networks; Knowledge based systems; Logistics; Multi-layer neural network; Neural networks; Prostate cancer; Tumors;
fLanguage
English
Publisher
ieee
Conference_Titel
Information Technology Applications in Biomedicine, 2003. 4th International IEEE EMBS Special Topic Conference on
Print_ISBN
0-7803-7667-6
Type
conf
DOI
10.1109/ITAB.2003.1222519
Filename
1222519
Link To Document