| Título | A Prototype Mobile Expert System for Nutritional Diagnosis |
| Tipo de publicación | Conference Proceedings |
| Year of Publication | 2013 |
| Autores | Quesada, C, Jenkins, M |
| Conference Name | International Florida Artificial Intelligence Research Society Conference |
| Publisher | Association for the Advancement of Artificial Intelligence |
| 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. |
| URL | http://www.aaai.org/ocs/index.php/FLAIRS/FLAIRS13/paper/view/5871/6052 |
