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dc.contributor.authorDe Paz , Juan F.
dc.contributor.authorRodríguez González, Sara 
dc.contributor.authorBajo Pérez, Javier
dc.contributor.authorCorchado Rodríguez, Juan Manuel 
dc.date.accessioned2017-09-06T09:15:45Z
dc.date.available2017-09-06T09:15:45Z
dc.date.issued2008-09
dc.identifier.citationHybrid Intelligent Systems, 2008. HIS '08. Eighth International Conference on. pp. 807 - 812.
dc.identifier.isbn978-0-7695-3326-1 (Online) / 978-0-7695-3326-1 (Print)
dc.identifier.urihttp://hdl.handle.net/10366/135017
dc.description.abstractMicroarray 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.
dc.format.mimetypeapplication/pdf
dc.language.isoen
dc.publisherIEEE
dc.rightsAttribution-NonCommercial-NoDerivs 3.0 Unported
dc.rights.urihttps://creativecommons.org/licenses/by-nc-nd/3.0/
dc.subjectComputer Science
dc.titleCBR System for Diagnosis of Patients
dc.typeinfo:eu-repo/semantics/conferenceObject
dc.rights.accessRightsinfo:eu-repo/semantics/openAccess


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