Hepatitis disease diagnosis using a new hybrid system based on feature selection (FS) and artificial immune recognition system with fuzzy resource allocation-Reference-Cited by-同舟云学术

Hepatitis disease diagnosis using a new hybrid system based on feature selection (FS) and artificial immune recognition system with fuzzy resource allocation

Published:2006-11 Issue:6 Volume:16 Page:889-901
ISSN:1051-2004
Container-title:Digital Signal Processing
language:en
Short-container-title:Digital Signal Processing

Author:

Polat Kemal,Güneş Salih

Publisher

Elsevier BV

Subject

Electrical and Electronic Engineering,Signal Processing,Artificial Intelligence,Applied Mathematics,Computer Vision and Pattern Recognition,Statistics, Probability and Uncertainty,Computational Theory and Mathematics

Reference13 articles.

1. http://www.angelfire.com/biz2/physician29/hepatitis.html

2. UCI machine learning repository, http://www.ics.uci.edu/~mlearn/MLRepository.html

3. http://www.cdc.gov/ncidod/dhqp/bp_hepatitisb.html

4. Artificial Immune Systems: A New Computational Intelligence Approach;De Castro,2002

5. The medical applications of attribute weighted artificial immune system (AWAIS): Diagnosis of hepatitis and diabetes diseases;Sahan;Lecture Notes Comp. Sci.,2005

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