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Distribution of food in a specialized hospital using ambient intelligence to improve a model of macroergonomics
dc.contributor.author | Rivera-Zárate, Gilberto | |
dc.date.accessioned | 2018-12-03T18:59:16Z | |
dc.date.available | 2018-12-03T18:59:16Z | |
dc.date.issued | 2019 | |
dc.identifier.isbn | 9781522571926 | es_MX |
dc.identifier.isbn | 1522571922 | es_MX |
dc.identifier.uri | http://cathi.uacj.mx/20.500.11961/4351 | |
dc.description.abstract | SIDA (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.uri | https://www.igi-global.com/book/advanced-macroergonomics-sociotechnical-approaches-optimal/204632#table-of-contents | es_MX |
dc.language.iso | en_US | es_MX |
dc.publisher | IGI Global | es_MX |
dc.relation.ispartof | Producto de investigación IIT | es_MX |
dc.relation.ispartof | Instituto de Ingeniería y Tecnología | es_MX |
dc.subject | Macroergonomics | es_MX |
dc.subject | Intelligent System | es_MX |
dc.subject | Food distribution in hospitals | es_MX |
dc.subject.other | info:eu-repo/classification/cti/7 | es_MX |
dc.title | Distribution of food in a specialized hospital using ambient intelligence to improve a model of macroergonomics | es_MX |
dc.type | Capítulo de libro | es_MX |
dcterms.thumbnail | http://ri.uacj.mx/vufind/thumbnails/rupiiit.png | es_MX |
dcrupi.instituto | Instituto de Ingeniería y Tecnología | es_MX |
dcrupi.cosechable | Si | es_MX |
dcrupi.subtipo | Investigación | es_MX |
dcrupi.nopagina | 231-241 | es_MX |
dcrupi.alcance | Internacional | es_MX |
dcrupi.pais | United States of America | es_MX |
dc.contributor.coauthor | Hernandez Arellano, Juan Luis | |
dc.contributor.coauthor | Azpeitia Herrera, Luis Daniel | |
dc.contributor.coordinador | Maldonado-Macías, Aide | |
dcrupi.estado | Publicado | es_MX |
dc.lgac | OPTIMIZACIÓN INTELIGENTE | es_MX |
dc.cuerpoacademico | Inteligencia Artificial Aplicada | es_MX |
dcrupi.titulolibro | Advanced Macroergonomics and Sociotechnical Approaches for Optimal Organizational Performance | es_MX |
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