A Prototype Mobile Expert System for Nutritional Diagnosis
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Quesada López, Christian Ulises
Jenkins Coronas, Marcelo
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Abstract
This 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.
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Presentado en The Twenty-Sixth International FLAIRS Conference
Keywords
Mobile software engineering, Expert systems, Web services, Nutritional diagnosis, Obesity
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https://www.aaai.org/ocs/index.php/FLAIRS/FLAIRS13/paper/viewPaper/5871
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