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Ontology-based Customized Health Management Service for Metabolic Syndrome Patients
Journal of The Korea Society of Computer and Information
Abbr :
JKSCI
2012, 17(1), pp.41-52
Publisher : The Korean Society Of Computer And Information
Research Area : Computer Science
2012, 17(1), pp.41-52
Publisher : The Korean Society Of Computer And Information
Research Area : Computer Science
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According to 2005 Korea National Health and Nutrition Survey, it has been reported that 32.9% men and 31.8% women have Metabolic syndrome among the population of age 30 and over. The importance of prevention and management is being emphasized in Metabolic syndrome which is a complex disease related to various generic and environmental factors like other chronical disease. In this study we suggest an service based on the data using the system architecture, ontology and Jena2.0 inference engine and organizing the disease-related guideline. The study also arrives at the result through proper interpretation and reasoning process using health management service model based on ontology. The accuracy according to the situation was tested and 930 data samples were selected and experimented. We drew a conclusion that the much personalized data is available, the more personalized services are possible. Since the risk factors of Metabolic syndrome are various, it would be effective to suggest customized services based on various personalized data.
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