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.accessioned2022-10-20T00:41:43Z
dc.date.available2019-05-09T14:09:02Z
dc.date.available2022-10-20T00:41:43Z
dc.date.created2019-05-09T14:09:02Z
dc.date.issued2013
dc.identifierhttps://www.aaai.org/ocs/index.php/FLAIRS/FLAIRS13/paper/viewPaper/5871
dc.identifierhttps://hdl.handle.net/10669/77060
dc.identifier.urihttps://repositorioslatinoamericanos.uchile.cl/handle/2250/4535139
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.
dc.languageen_US
dc.rightshttp://creativecommons.org/licenses/by-nc-nd/4.0/
dc.rightsAttribution-NonCommercial-NoDerivatives 4.0 Internacional
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, California
dc.subjectMobile software engineering
dc.subjectExpert systems
dc.subjectWeb services
dc.subjectNutritional diagnosis
dc.subjectObesity
dc.titleA Prototype Mobile Expert System for Nutritional Diagnosis
dc.typecontribución de congreso


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