Cross-industry standard process for data mining is applicable to the lung cancer surgery domain, improving decision making as well as knowledge and quality management

dc.contributor.author	Cañizares Carretero, Miguel Angel
dc.contributor.author	Gil Gil, Pedro
dc.contributor.author	Rivo Vázquez, Angel
dc.contributor.author	Rivo Vázquez, José Eduardo
dc.contributor.author	García Fontán, Eva María
dc.date.accessioned	2017-06-07T07:30:24Z
dc.date.available	2017-06-07T07:30:24Z
dc.date.issued	2012
dc.identifier.issn	1699-048x
dc.identifier.uri	http://hdl.handle.net/20.500.11940/7312
dc.language.iso	eng
dc.title	Cross-industry standard process for data mining is applicable to the lung cancer surgery domain, improving decision making as well as knowledge and quality management
dc.type	Artigo	es
dc.authorsophos	Rivo, E.
dc.authorsophos	de la Fuente, J.
dc.authorsophos	Rivo, A.
dc.authorsophos	Garcia-Fontan, E.
dc.authorsophos	Canizares, M. A.
dc.authorsophos	Gil, P.
dc.identifier.doi	10.1007/s12094-012-0764-8
dc.identifier.isi	299704200011
dc.identifier.pmid	22262722
dc.identifier.sophos	7278
dc.issue.number	1
dc.journal.title	Clinical & Translational Oncology
dc.organization	Servizo Galego de Saúde::Estrutura de Xestión Integrada (EOXI)::EOXI de Vigo - Complexo Hospitalario Universitario de Vigo::Cirurxía Torácica
dc.organization	Servizo Galego de Saúde::Estrutura de Xestión Integrada (EOXI)::EOXI de Vigo - Complexo Hospitalario Universitario de Vigo::Cirurxía Xeral e dixestiva
dc.rights.accessRights	openAccess
dc.typesophos	Artículo Original
dc.volume.number	14

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