DocumentCode :
2851717
Title :
CBR System for Diagnosis of Patients
Author :
De Paz, Juan F. ; Rodriguez, Saul ; Bajo, Javier ; Corchado, Juan M.
Author_Institution :
Dept. de Inf. y Autom., Univ. de Salamanca, Salamanca
fYear :
2008
fDate :
10-12 Sept. 2008
Firstpage :
807
Lastpage :
812
Abstract :
Microarray technology allows to measure the expression levels of thousands of genes in an experiment. The use of computational methods is fundamental in cancer research. One of the possibilities is the use of artificial intelligence techniques. Several of these techniques have been used to analyze expression arrays. This paper presents a case-based reasoning (CBR) system for automatic classification of leukemia patients from microarray data. The system incorporates novel algorithms for data mining that allow to filter and classify as well as extraction of knowledge. The system has been tested and the results obtained are presented in this paper.
Keywords :
cancer; case-based reasoning; data mining; genetics; knowledge acquisition; medical diagnostic computing; patient diagnosis; CBR system; artificial intelligence technique; automatic classification; cancer research; computational method; data mining; knowledge extraction; leukemia patient; microarray technology; patient diagnosis; Artificial intelligence; Biological cells; Blood; Cancer; Data mining; Diseases; Filtering; Filters; Humans; Semiconductor device measurement;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Hybrid Intelligent Systems, 2008. HIS '08. Eighth International Conference on
Conference_Location :
Barcelona
Print_ISBN :
978-0-7695-3326-1
Electronic_ISBN :
978-0-7695-3326-1
Type :
conf
DOI :
10.1109/HIS.2008.108
Filename :
4626730
Link To Document :
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