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
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