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Please use this identifier to cite or link to this item: https://accedacris.ulpgc.es/jspui/handle/10553/54314
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dc.contributor.authorSantos-García, Gustavo
dc.contributor.authorVarela, Gonzalo
dc.contributor.authorNovoa, Nuria
dc.contributor.authorJiménez, Marcelo F.
dc.date.accessioned2019-02-18T10:01:29Z-
dc.date.available2019-02-18T10:01:29Z-
dc.date.issued2004
dc.identifier.issn0933-3657
dc.identifier.urihttps://accedacris.ulpgc.es/handle/10553/54314-
dc.publisher0933-3657
dc.relation.ispartofArtificial Intelligence in Medicine
dc.sourceArtificial Intelligence in Medicine[ISSN 0933-3657],v. 30, p. 61-69
dc.titlePrediction of postoperative morbidity after lung resection using an artificial neural network ensemble
dc.typeinfo:eu-repo/semantics/article
dc.typeArticle
dc.identifier.doi10.1016/S0933-3657(03)00059-9
dc.identifier.scopus0346848887
dc.contributor.authorscopusid17343145200
dc.contributor.authorscopusid7004999385
dc.contributor.authorscopusid6603574281
dc.contributor.authorscopusid56276083200
dc.description.lastpage69
dc.description.firstpage61
dc.relation.volume30
dc.type2Artículo
dc.identifier.ulpgcSíes
dc.description.jcr1,124
dc.description.jcrqQ2
dc.description.scieSCIE
item.grantfulltextnone-
item.fulltextSin texto completo-
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