A Prototype Mobile Expert System for Nutritional Diagnosis

Tipo de publicación: Conference Proceedings

Publicado en: International Florida Artificial Intelligence Research Society Conference

Autores
  • Cristian Quesada
  • Marcelo Jenkins

Investigadores del CITIC asociados a la publicación
Christian Quesada-López
Marcelo Jenkins Coronas

Proyecto asociado a la publicación
Plataforma de servicios nutricionales ofrecida a través de dispositivos móviles para el monitoreo de metas relacionadas con alimentación saludable

Palabras claves
  • 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.

BIBTEXT

Datos bibliográficos
Cita bibliográfica
A Prototype Mobile Expert System for Nutritional Diagnosis