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A Prototype Mobile Expert System for Nutritional Diagnosis

dc.creatorQuesada López, Christian Ulises
dc.creatorJenkins Coronas, Marcelo
dc.date.accessioned2019-05-09T14:09:02Z
dc.date.available2019-05-09T14:09:02Z
dc.date.issued2013
dc.descriptionPresentado en The Twenty-Sixth International FLAIRS Conferencees
dc.description.abstractThis paper describes NUTRITION UCR, a prototype expert system for human nutritional diagnosis developed in Java on Android using a service-oriented architecture. The system runs on mobile devices and offers smart features that evaluate the nutritional condition of an individual by assessing their physical characteristics and eating habits. We explain the knowledge engineering process used to develop the system, overview the system architecture and selected design tools, and summarize some preliminary results from the prototype implementation.es
dc.description.procedenceUCR::Vicerrectoría de Docencia::Ingeniería::Facultad de Ingeniería::Escuela de Ciencias de la Computación e Informáticaes
dc.description.procedenceUCR::Vicerrectoría de Investigación::Unidades de Investigación::Ingeniería::Centro de Investigaciones en Tecnologías de Información y Comunicación (CITIC)es
dc.description.sponsorshipUniversidad de Costa Rica/[]/UCR/Costa Ricaes
dc.identifier.citationhttps://www.aaai.org/ocs/index.php/FLAIRS/FLAIRS13/paper/viewPaper/5871
dc.identifier.urihttps://hdl.handle.net/10669/77060
dc.language.isoen_US
dc.rightsacceso abierto
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/4.0/
dc.sourceProceedings of the Twenty-Sixth International Florida Artificial Intelligence Research Society Conference, St. Pete Beach, Florida. May 22–24, 2013. Published by The AAAI Press, Palo Alto, Californiaes
dc.subjectMobile software engineeringes
dc.subjectExpert systemses
dc.subjectWeb serviceses
dc.subjectNutritional diagnosises
dc.subjectObesityes
dc.titleA Prototype Mobile Expert System for Nutritional Diagnosises
dc.typecontribución de congreso

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