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dc.contributor.authorSevilla-Villanueva, Beatriz
dc.contributor.authorGibert, Karina
dc.contributor.authorSànchez-Marrè, Miquel
dc.contributor.otherUniversitat Politècnica de Catalunya. Departament de Llenguatges i Sistemes Informàtics
dc.contributor.otherUniversitat Politècnica de Catalunya. Departament d'Estadística i Investigació Operativa
dc.date.accessioned2014-05-08T11:33:58Z
dc.date.available2014-05-08T11:33:58Z
dc.date.created2013
dc.date.issued2013
dc.identifier.citationSevilla-Villanueva, B.; Gibert, Karina; Sanchez, M. Clustering and interpretation on real nutritional data. A: Conferencia de la Asociación Española para la Inteligencia Artificial. "Multiconferencia CAEPIA'13 : Madrid 17-20 sept 2013". Madrid: 2013, p. 1454-1463.
dc.identifier.isbn978-84-695-8348-7
dc.identifier.urihttp://hdl.handle.net/2117/22903
dc.description.abstractNutritional Genomics studies diet-gene-disease interactions and aims to promote health and disease prevention. It is based on the idea that everything ingested into a person’s body affects the genome of the individual and, therefore, both genes and nutrients modify the same metabolic processes. This paper presents an application of clustering and interpretation over real heterogeneous data coming from a nutritional study. The individuals are clustered by their diet and physical activity habits and the resulting clustering is interpreted. This work is part of a methodology to deal with data from dietary intervention studies.
dc.format.extent10 p.
dc.language.isoeng
dc.subjectÀrees temàtiques de la UPC::Matemàtiques i estadística::Investigació operativa
dc.subjectÀrees temàtiques de la UPC::Informàtica::Sistemes d'informació
dc.subject.lcshNutritional genomics
dc.titleClustering and interpretation on real nutritional data
dc.typeConference report
dc.subject.lemacGenòmica -- Mètodes estadístics
dc.contributor.groupUniversitat Politècnica de Catalunya. KEMLG - Grup d'Enginyeria del Coneixement i Aprenentatge Automàtic
dc.description.peerreviewedPeer Reviewed
dc.relation.publisherversionhttp://www.congresocedi.es/images/site/actas/ActasCAEPIA.pdf
dc.rights.accessOpen Access
local.identifier.drac12968537
dc.description.versionPostprint (published version)
local.citation.authorSevilla-Villanueva, B.; Gibert, Karina; Sanchez, M.
local.citation.contributorConferencia de la Asociación Española para la Inteligencia Artificial
local.citation.pubplaceMadrid
local.citation.publicationNameMulticonferencia CAEPIA'13 : Madrid 17-20 sept 2013
local.citation.startingPage1454
local.citation.endingPage1463


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