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A hybrid intelligent recognition system for the early detection of strokes

dc.contributor.authorVillar Flecha, José Ramón 
dc.contributor.authorChira, Camelia
dc.contributor.authorSedano Franco, Javier
dc.contributor.authorGonzález, Silvia
dc.contributor.authorTrejo Gabriel-Galán, José M.
dc.date.accessioned2015-10-02T07:16:04Z
dc.date.available2015-10-02T07:16:04Z
dc.date.issued2015
dc.identifier.citationIntegrated Computer-Aided Engineering, 22(3), p. 215-227 (2015); doi:10.3233/ICA-150488
dc.identifier.issn1069-2509
dc.identifier.issn1875-8835
dc.identifier.urihttp://hdl.handle.net/10651/33634
dc.description.sponsorshipSpanish Ministry of Science and Innovation project [TIN2011-24302, TIN2014-56967-R]; Junta de Castilla y Leon project [BIO/BU09/14, SACYL 2013 GRS/822/A/13, CCTT/10/BU/0002, CCTT/10/LE/0001]; Fundacion Universidad de Oviedo project [FUO-EM-340-13 (IE13-11
dc.format.extentp. 215-227
dc.language.isoeng
dc.relation.ispartofIntegrated Computer-Aided Engineering, 22(3)eng
dc.rights© 2015 – IOS Press and the author(s)
dc.rightsCC Reconocimiento - No comercial - Sin obras derivadas 4.0 Internacional
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/4.0/
dc.titleA hybrid intelligent recognition system for the early detection of strokeseng
dc.typejournal article
dc.identifier.doi10.3233/ICA-150488
dc.accrualPeriodicityMICINN/TIN2011-24302
dc.accrualPeriodicityMICINN/TIN2014-56967-R
dc.relation.publisherversionhttp://dx.doi.org/10.3233/ICA-150488
dc.rights.accessRightsopen access


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