A Prototype Mobile Expert System for Nutritional Diagnosis

TítuloA Prototype Mobile Expert System for Nutritional Diagnosis
Tipo de publicaciónConference Proceedings
Year of Publication2013
AutoresQuesada, C, Jenkins, M
Conference Name International Florida Artificial Intelligence Research Society Conference
PublisherAssociation for the Advancement of Artificial Intelligence
Palabras claveexpert systems, mobile software engineering, nutritional diagnosis, obesity, web services

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.