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dc.contributor.authorGonzález Navarro, Félix Fernando
dc.contributor.authorBelanche Muñoz, Luis Antonio
dc.contributor.otherUniversitat Politècnica de Catalunya. Departament de Llenguatges i Sistemes Informàtics
dc.date.accessioned2013-02-27T11:29:50Z
dc.date.available2013-02-27T11:29:50Z
dc.date.created2011
dc.date.issued2011
dc.identifier.citationGonzález, F.F.; Belanche, Ll. Feature selection in proton magnetic resonance spectroscopy data of brain tumors. A: International Meeting on Computational Intelligence Methods for Bioinformatics and Biostatistics. "Proceedings of the CIBB 2011: 8th International meeting on computational intelligence methods for bioinformatics and biostatistics: Gargnano-Lago di Garda, Italy, June 30-July 2, 2011". Gargnano, Lago di Garda: Università degli Studi di Salerno, 2011, p. 1-8.
dc.identifier.urihttp://hdl.handle.net/2117/18003
dc.description.abstractIn cancer diagnosis, classification of the different tumor types is of great importance. An accurate prediction of different tumor types provides better treatment and may minimize the negative impact of incorrectly targeted toxic or aggressive treatments. Moreover, the correct prediction of cancer types using non-invasive information –e.g. 1H-MRS data– could avoid patients to suffer collateral problems derived from exploration techniques that require surgery. A Feature Selection Algorithm specially designed to be use in 1H-MRS Proton Magnetic Resonance Spectroscopy data of brain tumors is presented. It takes advantage of a highly distinctive aspect in this data: some metabolite levels are notoriously different between types of tumors. Experimental read- ings on an international dataset show highly competitive models in terms of accuracy, complexity and medical interpretability.
dc.language.isoeng
dc.publisherUniversità degli Studi di Salerno
dc.rightsAttribution-NonCommercial-NoDerivs 3.0 Spain
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/3.0/es/
dc.subjectÀrees temàtiques de la UPC::Informàtica::Aplicacions de la informàtica::Bioinformàtica
dc.subject.lcshMedical informatics
dc.subject.lcshBrain -- Tumors -- Diagnosis
dc.subject.lcshProton magnetic resonance spectroscopy
dc.subject.otherCancer research
dc.subject.otherFeature selection
dc.subject.otherClassification
dc.titleFeature selection in proton magnetic resonance spectroscopy data of brain tumors
dc.typeConference report
dc.subject.lemacMedicina -- Informàtica
dc.subject.lemacCervell -- Tumors
dc.contributor.groupUniversitat Politècnica de Catalunya. SOCO - Soft Computing
dc.rights.accessOpen Access
drac.iddocument9587535
dc.description.versionPostprint (author’s final draft)
upcommons.citation.authorGonzález, F.F.; Belanche, Ll.
upcommons.citation.contributorInternational Meeting on Computational Intelligence Methods for Bioinformatics and Biostatistics
upcommons.citation.pubplaceGargnano, Lago di Garda
upcommons.citation.publishedtrue
upcommons.citation.publicationNameProceedings of the CIBB 2011: 8th International meeting on computational intelligence methods for bioinformatics and biostatistics: Gargnano-Lago di Garda, Italy, June 30-July 2, 2011
upcommons.citation.startingPage1
upcommons.citation.endingPage8


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Except where otherwise noted, content on this work is licensed under a Creative Commons license: Attribution-NonCommercial-NoDerivs 3.0 Spain