Intelligent healthcare agent for food recommendation at Tainan City

Nowadays, people sometimes eat too much and exercise too little, causing their weight more than their healthy weight range and even developing a disease such as diabetes. In this paper, an intelligent healthcare agent, including an ontology construction mechanism and a food route recommendation mech...

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Bibliographic Details
Main Authors: Chang-Shing Lee, Mei-Hui Wang, Wei-Chun Sun, Young-Chung Chang
Format: Conference Proceeding
Language:English
Subjects:
Agent
Ant Colony Algorithm
Ant colony optimization
Capability maturity model
Cities and towns
Diseases
Fuzzy Inference
Fuzzy systems
Healthcare
Inference algorithms
Intelligent agent
Job shop scheduling
Medical services
Ontologies
Ontology
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Summary:Nowadays, people sometimes eat too much and exercise too little, causing their weight more than their healthy weight range and even developing a disease such as diabetes. In this paper, an intelligent healthcare agent, including an ontology construction mechanism and a food route recommendation mechanism, is proposed for food recommendation at Tainan City. The proposed agent combines the ontology with the fuzzy inference mechanism and the intelligent search mechanism not only to make a guide to Tainan City gourmet but also to display how many calories this gourmet has on the Google map. In this way, the user can enjoy delicious food while he can stay healthy. The experimental results show that the proposed agent can effectively recommend a personalized schedule of enjoying Tainan City gourmet.
ISSN:1062-922X
2577-1655
DOI:10.1109/ICSMC.2008.4811492