Case-based reasoning as a decision support system for cancer diagnosis: A case study

  1. De Paz, Juan F. 1
  2. Rodríguez, Sara 1
  3. Bajo, Javier 1
  4. Corchado, Juan M. 1
  1. 1 Universidad de Salamanca
    info

    Universidad de Salamanca

    Salamanca, España

    ROR https://ror.org/02f40zc51

Revista:
International Journal of Hybrid Intelligent Systems

ISSN: 1448-5869,  1875-8819

Año de publicación: 2009

Volumen: 6

Número: 2

Páginas: 97-110

Tipo: Artículo

DOI: 10.3233/HIS-2009-0089 GOOGLE SCHOLAR

Otras publicaciones en: International Journal of Hybrid Intelligent Systems

Resumen

Microarray technology can measure the expression levels of thousands of genes in an experiment. This fact makes the use of computational methods in cancer research absolutely essential. One of the possible applications is in the use of Artificial Intelligence techniques. Several of these techniques have been used to analyze expression arrays, but there is a growing need for new and effective solutions. 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 filtering, classification, and knowledge extraction. The system has been tested and the results obtained are presented in this paper.