A Prototype Mobile Expert System for Nutritional Diagnosis

TítuloA Prototype Mobile Expert System for Nutritional Diagnosis
Tipo de publicaciónConference Proceedings
Year of Conference
2013
Autores
Cristian Quesada
Marcelo Jenkins
Conference Name
International Florida Artificial Intelligence Research Society Conference
Editorial
Association for the Advancement of Artificial Intelligence
URL
http://www.aaai.org/ocs/index.php/FLAIRS/FLAIRS13/paper/view/5871/6052
Palabras clave
expert systems
mobile software engineering
nutritional diagnosis
obesity
web services
Resumen

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.