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dc.contributor.authorRivera-Zárate, Gilberto
dc.date.accessioned2018-12-03T18:59:16Z
dc.date.available2018-12-03T18:59:16Z
dc.date.issued2019
dc.identifier.isbn9781522571926es_MX
dc.identifier.isbn1522571922es_MX
dc.identifier.urihttp://cathi.uacj.mx/20.500.11961/4351
dc.description.abstractSIDA (Intelligent Food Distribution System, for its acronym in Spanish) is a proposed tool for the distribution of food that can be personalized depending on the medical characteristics of each patient. The target of the tool is to provide foods that contain higher nutrients in the diet set by a hospital. A model of decision trees was based on data from the organization of the United Nations Food and Agriculture Organization (FAO) and used for decision making in the simulated three basic foods based on the diet of Latin American countries typically integrated by rice, potatoes, and lentils from the parameters of fat, energy, and protein, respectively, that contains every type of food.es_MX
dc.description.urihttps://www.igi-global.com/book/advanced-macroergonomics-sociotechnical-approaches-optimal/204632#table-of-contentses_MX
dc.language.isoen_USes_MX
dc.publisherIGI Globales_MX
dc.relation.ispartofProducto de investigación IITes_MX
dc.relation.ispartofInstituto de Ingeniería y Tecnologíaes_MX
dc.subjectMacroergonomicses_MX
dc.subjectIntelligent Systemes_MX
dc.subjectFood distribution in hospitalses_MX
dc.subject.otherinfo:eu-repo/classification/cti/7es_MX
dc.titleDistribution of food in a specialized hospital using ambient intelligence to improve a model of macroergonomicses_MX
dc.typeCapítulo de libroes_MX
dcterms.thumbnailhttp://ri.uacj.mx/vufind/thumbnails/rupiiit.pnges_MX
dcrupi.institutoInstituto de Ingeniería y Tecnologíaes_MX
dcrupi.cosechableSies_MX
dcrupi.subtipoInvestigaciónes_MX
dcrupi.nopagina231-241es_MX
dcrupi.alcanceInternacionales_MX
dcrupi.paisUnited States of Americaes_MX
dc.contributor.coauthorHernandez Arellano, Juan Luis
dc.contributor.coauthorAzpeitia Herrera, Luis Daniel
dc.contributor.coordinadorMaldonado-Macías, Aide
dcrupi.estadoPublicadoes_MX
dc.lgacOPTIMIZACIÓN INTELIGENTEes_MX
dc.cuerpoacademicoInteligencia Artificial Aplicadaes_MX
dcrupi.titulolibroAdvanced Macroergonomics and Sociotechnical Approaches for Optimal Organizational Performancees_MX


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