• 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