Close category search window
 

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

Sign In

Cookies must be enabled to login.After enabling cookies , please use refresh or reload or ctrl+f5 on the browser for the login options.

Formats Non-Member Member
$31 $13
Learn how you can qualify for the best price for this item!
Become an IEEE Member or Subscribe to
IEEE Xplore for exclusive pricing!
close button

puzzle piece

IEEE membership options for an individual and IEEE Xplore subscriptions for an organization offer the most affordable access to essential journal articles, conference papers, standards, eBooks, and eLearning courses.

Learn more about:

IEEE membership

IEEE Xplore subscriptions

5 Author(s)
Seker, H. ; Sch. of Inf., Univ. of Bradford, UK ; Odetayo, M.O. ; Petrovic, D. ; Naguib, R.N.G.
more authors

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).

Published in:
Information Technology Applications in Biomedicine, 2003. 4th International IEEE EMBS Special Topic Conference on

Date of Conference: 24-26 April 2003

Need Help?


IEEE Advancing Technology for Humanity About IEEE Xplore | Contact | Help | Terms of Use | Nondiscrimination Policy | Site Map | Privacy & Opting Out of Cookies

A not-for-profit organization, IEEE is the world's largest professional association for the advancement of technology.
© Copyright 2013 IEEE - All rights reserved. Use of this web site signifies your agreement to the terms and conditions.