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

H. Seker, M.O. Odetayo, Dobrila Petrovic, R.N.G. Naguib

Research output: Chapter in Book/Report/Conference proceedingChapter

5 Citations (Scopus)

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 languageEnglish
Title of host publicationInformation Technology Applications in Biomedicine, 2003. 4th International IEEE EMBS Special Topic Conference on
PublisherIEEE
Pages230-233
ISBN (Print)0-7803-7667-6
DOIs
Publication statusPublished - 2003

Bibliographical note

This paper is not available on the repository. The paper was given at the 4th International IEEE EMBS Special Topic Conference on, 24-26 April 2003

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  • Cite this

    Seker, H., Odetayo, M. O., Petrovic, D., & Naguib, R. N. G. (2003). An intelligent hybrid neuro-fuzzy rule-based system for prognostic decision making in prostate cancer patients. In Information Technology Applications in Biomedicine, 2003. 4th International IEEE EMBS Special Topic Conference on (pp. 230-233). IEEE. https://doi.org/10.1109/ITAB.2003.1222519