Journal of the Korea Society of Computer and Information (한국컴퓨터정보학회논문지)

Korean Society of Computer Information (한국컴퓨터정보학회)
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Ontology-based Customized Health Management Service for Metabolic Syndrome Patients

대사 증후군 환자들을 위한 온톨로지 기반 맞춤형 건강관리 서비스

  • Lee, Byung-Mun (School of Information Engineering, GACHON University) ;
  • Lee, Young-Ho (School of Information Engineering, GACHON University) ;
  • Yu, Ki-Min (School of Information Engineering, GACHON University) ;
  • Park, Ji-Yoon (School of Information Engineering, GACHON University) ;
  • Kang, Un-Gu (School of Information Engineering, GACHON University)
  • 이병문 (가천의과학대학교 정보공학부) ;
  • 이영호 (가천의과학대학교 정보공학부) ;
  • 유기민 (가천의과학대학교 정보공학부) ;
  • 박지윤 (가천의과학대학교 정보공학부) ;
  • 강운구 (가천의과학대학교 정보공학부)
  • Received : 2011.09.29
  • Accepted : 2011.12.22
  • Published : 2012.01.31
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Abstract

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.

2005년도 국민건강영양조사에 의하면 우리나라 30세 이상의 인구에서 남자는 32.9%, 여자는 31,8%에서 대사증후군이 있는 것으로 보고되었다. 이러한 대사증후군은 유전적, 환경적 요인이 결합된 복합질환으로 다른 만성질환들과 같이 예방 및 관리에 중요성이 대두되고 있다. 본 연구에서는 시스템 아키텍처, 온톨로지와 Jena2.0 추론엔진을 사용하며 질병관련 가이드라인을 정리한 데이터를 통하여 서비스를 제안하였다. 본 논문에서는 상황에 따른 정확도 실험을 하였으며, 실험데이터는 930개의 데이터를 선별하여 실시하였다. 그 결과 상황데이터가 많을수록 맞춤형 서비스가 가능하다는 결과를 얻었으며, 대사증후군의 위험요소가 다양하기 때문에 여러 가지 상황데이터로서 맞춤형 서비스를 추천하는 것이 효과적으로 보인다.

Keywords

References

  1. H. S. Park, et al., "Manual of Metabolic Syndrome," The Korean Academy of Family Medicine, pp.1, Oct. 2007.
  2. "KNHANES III(2005)," Korea Centers for Disease Control & Prevention, 2005.
  3. E. H. Nah, H. Ch. Kim, "Comparison of Cardiova scular Risk Factors between Normotension and Prehypertension", The Korean journal of laboratory medicine, Vol. 27, No. 5, pp.377-381, Oct. 2007. https://doi.org/10.3343/kjlm.2007.27.5.377
  4. "Hypertension and Diabetes," National Hypertension Center, 2005.
  5. D. H. Seo, "Relationship between Exercise and Metabolic Syndrome in Middle-aged Women", University of Dankook, 2010.
  6. M. K. Cho, "A study on health behaviors diet and related factors for metabolic syndrome in korea adults", University of Korea, 2011.
  7. S. J. Lim, "The effects of prevalence and metabolic syndrom index on Life style of adults", University of Kangwon, 2011.
  8. H. Chen, T. Finin, A. Joshi, "An Ontology for Context-Aware Pervasive Computing Environments," Special Issue on Ontologies for Distributed Systems, The Knowledge Engineering Review, Vol. 18, No. 3 pp.197-207, 2004.
  9. Y. Zou, T. Finin, A. Joshi, "F-OWL: an Inference Engine for the Semantic Web," Formal Approaches to Agent-Based Systems, Vol. 3228, Nov. 2004.
  10. X. H. Wang, D. Q. Zhang, T. Gu, H. K. Pung, "Ontology Based Context Modeling and Reasoning using OWL," In Proc. PercomWorkshops, Vol. 18 pp.18-22, Mar. 2004.
  11. H. Chen, F. Perich, T. Finin, A. Joshi, "SOUPA: Standard Ontology for Ubiquitous and Pervasive Applications," The First Annual International Conference on Mobile and Ubiquitous Systems, Vol. 1, pp.258-267, Aug. 2004.
  12. D. M. Lee, Y. H. Lee, S. J. Hyun, I. Y. Ko, W. D. Cho, "Ubiquitous Smart Space Context Aware Computing Technology," Jinhan M&B, May 2009.
  13. J. E. Lim, O. H. Choi, H. S. Na, D. K. Baik, "Exercise Optimization Algorithm based on Context Aware Model for Ubiquitous Healthcare," Journal of Korean Institute of Information Scientists and Engineers, Vol. 13, No. 6, pp.378-387, Nov. 2007.
  14. B. M. Lee, J. K. Kim, J. H. Kim, Y. H. Lee, U. G. Kang, "A Customized Exercise Service Model based on the Context-Awareness in u-Health Service," Journal of Korean Institute of Information Technology, Vol. 9, No. 2, pp.141-152, Feb. 2011.
  15. Carroll J. J, et al., "Jena: Implementing the Semantic Web Recommendations" World Wide Web Conference Series, pp.74-83, 2004.
  16. RDF Primer, W3C Working Draft 23 January 2003, http://www.w3c.org/TR/rdf-primer.
  17. I. Horrocks, et al., "SWRL: A Semantic Web Rule Language Combining OWL and RuleML," May 2004.
  18. M. Dean, "Semantic Web Rules: Covering the Use Case," RuleML 2004, Vol. 3323, pp.1-5, 2004.
  19. OWL Web Ontology Language Overview, http://www.w3.org/TR/2004/REC-owl-features-20040210
  20. JENA2: A Semantic Web Framework, http://jena.sourceforge.net
  21. "2004 Korean Hypertension Treatment Guidelines," The Korean Society of Hypertension, 2004.
  22. "Treatment Guideline for Diabetes 2011," Korean Diabetes Association, 2011.
  23. "Health insurance plan targeted to build custom information system," National Health Insurance Corporation of Seoul National University College of Medicine, Mar. 2005.
  24. J. H. Park, W. I. Park, Y. K. Kim, J. H. Kang, "A Customized Device Recommender System based on Context-Aware in Ubiquitous Environments," Journal of The Institute of Electronics Engineers of Korea, Vol. 46, No. 3, pp.15-23, May 2009.
  25. Y. C. Lee, B. H. Im, Y. H. Park, "The Determinants and Comparison of Health Behavior and Health Service by Private Medical Insurance on National Health-Nutrition Survey", The Journal of the Korea Contents Association, Vol. 10, No. 12, pp.190-204, 2010.

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