Journal of the Korea Convergence Society (한국융합학회논문지)

Korea Convergence Society (한국융합학회)
권호 표지
DOI QR코드

DOI QR Code

Mining based Mental Health and Blood Pressure Management Service for Smart Health

스마트 헬스를 위한 마이닝 기반의 정신 건강과 혈압 관리 서비스

  • Jung, Eun-Jin (Intelligent System Lab., Dept. of Computer Information Engineering, Sangji University) ;
  • Kim, Joo-Chang (Intelligent System Lab., Dept. of Computer Information Engineering, Sangji University) ;
  • Jung, Hoill (Intelligent System Lab., Dept. of Computer Information Engineering, Sangji University) ;
  • Yoo, Hyun (Intelligent System Lab., Dept. of Computer Information Engineering, Sangji University) ;
  • Chung, Kyungyong (School of Computer Information Engineering, Sangji University)
  • 정은진 (상지대학교 컴퓨터정보공학과 지능시스템연구실) ;
  • 김주창 (상지대학교 컴퓨터정보공학과 지능시스템연구실) ;
  • 정호일 (상지대학교 컴퓨터정보공학과 지능시스템연구실) ;
  • 유현 (상지대학교 컴퓨터정보공학과 지능시스템연구실) ;
  • 정경용 (상지대학교 컴퓨터정보공학부)
  • Received : 2016.11.30
  • Accepted : 2017.01.20
  • Published : 2017.01.28
Download PDF
⟨ Previous Next ⟩

Abstract

As the convergence technology is developing rapidly and the portable mobile devices are spreading in ubiquitous smart healthcare, users were able to get medical information easily through the smart health platform. According to such rapid industrialization, wellness care, aging society, information society, changes in disease aspects and life style, user-centered healthcare, and health promotion contents are being offered. In this study, we proposed the mining based mental health and blood pressure management service for the smart health. The proposed method provides the mental health management service and the blood pressure management service for chronic disease patients within the mining based smart health platform. Users receive optimized healthcare services regardless of time and place in the PHR based smart health platform. For the performance evaluation of the proposed mining based mental health and blood pressure management service, F-measure verification are conducted.

유비쿼터스 스마트 헬스케어에서 융합기술 급격히 발달하고, 이동식 모바일 장치가 보급됨에 따라 사용자는 스마트 헬스 플랫폼을 통해 의료 정보를 손쉽게 얻을 수 있게 되었다. 이러한 급격한 산업화, 웰니스 케어, 고령화 사회, 정보화 사회, 질병양상 및 생활습관의 변화, 의약분업 실시 등에 따라, 사용자 중심의 건강관리 및 건강증진 콘텐츠가 제공되고 있다. 이에 본 논문에서는 스마트 헬스를 위한 마이닝 기반의 정신 건강과 혈압 관리 서비스를 제안한다. 제안하는 방법은 마이닝 기반의 스마트 헬스 플랫폼에서 정신 건강관리 서비스와 혈압관리 서비스를 만성질환자를 위해 제공한다. 사용자는 PHR 기반의 스마트 헬스 플랫폼에서 시간과 장소에 구애 받지 않고 최적화된 건강관리 서비스를 제공받는다. 제안한 마이닝 기반의 정신 건강과 혈압 관리 서비스의 성능평가 결과, F-검증에서 우수한 성능을 보인다.

Keywords

References

  1. H. Jung, K. Chung, "P2P Context Awareness based Sensibility Design Recommendation using Color and Bio-signal Analysis", Peer-to-Peer Networking and Applications, Vol. 9, No. 3, pp. 546-557, 2016. https://doi.org/10.1007/s12083-015-0398-z
  2. H. Jung, K. Chung, "Knowledge-based Dietary Nutrition Recommendation for Obese Management", Information Technology and Management, Vol. 17, No. 1, pp. 29-42, 2016. https://doi.org/10.1007/s10799-015-0218-4
  3. H. Jung, K. Chung, "PHR based Life Health Index Mobile Service using Decision Supprot Model", Wireless Personal Communications, Vol 86, No. 1, pp. 315-332. 2016. https://doi.org/10.1007/s11277-015-3069-8
  4. K. Chung, R. C. Park, "P2P Cloud Network Services for IoT based Disaster Situations Information", Peer-to-Peer Networking and Applications, Vol. 9, No. 3, pp. 566-577, 2016. https://doi.org/10.1007/s12083-015-0386-3
  5. H. Jung, H. Yoo, K. Chung, "Associative Context Mining for Ontology-Driven Hidden Knowledge Discovery", Cluster Computing, Vol. 19, No. 4, pp. 2261-2271, 2016. https://doi.org/10.1007/s10586-016-0672-8
  6. Health Insurance Review and Assessment Service, http://opendata.hira.or.kr/.
  7. K. Chung, Roy C. Park, "PHR Open Platform based Smart Health Service using Distributed Object Group Framework", Cluster Computing, Vol. 19, No. 1, pp. 505-517, 2016. https://doi.org/10.1007/s10586-016-0531-7
  8. Korea Centers for Disease Control and Prevention, "6th Korean National Health and Nutrition Examinations Survey (KNHANES VI-1)", Korea Centers for Disease Control and Prevention, 2015.
  9. L. S. Kim, "Convergence of Information Technology and Corporate Strategy", Journal of the Korea Convergence Society, Vol. 6, No. 6, pp. 17-26, 2015. https://doi.org/10.15207/JKCS.2015.6.6.017
  10. J. S. Han, "Color and Brightness Calibration Convergence Technology for 5D Virtual Reality Attractions", Journal of the Korea Convergence Society, Vol. 6, No. 7, pp. 25-30, 2016.
  11. S. H. Lee, "Actual Cases and Analysis of IT Convergence for Green IT", Journal of the Korea Convergence Society, Vol. 6, No. 6, pp. 147-152, 2015. https://doi.org/10.15207/JKCS.2015.6.6.147
  12. S. Y. Oh, K. Chung, J. S. Han, "Towards Ubiquitous Health with Convergence", International Journal of Technology and Health Care, Vol. 24, No. 3, pp. 411-413, 2016. https://doi.org/10.3233/THC-151118
  13. T. Michael, Maching Learning, McGraq-Hill, pp. 154-200, 1997.
  14. M. J. Lee, "A Game Design for IoT environment", Journal of the Korea Convergence Society, Vol. 6, No. 4, pp. 133-138, 2015. https://doi.org/10.15207/JKCS.2015.6.4.133
  15. S. H. Kim, K. Chung, "Emergency Situation Monitoring Service using Context Motion Tracking of Chronic Disease Patients", Cluster Computing, Vol. 18, No. 2, pp. 747-759, 2015. https://doi.org/10.1007/s10586-015-0440-1
  16. J. C. Kim, K. Chung, "Depression Index Service using Knowledge based Crowdsourcing in Smart Health", Wireless Personal Communication, 2016. DOI: 10.1007/s11277-016-3923-3

Cited by

  1. Mining-based lifecare recommendation using peer-to-peer dataset and adaptive decision feedback pp.1936-6450, 2018, https://doi.org/10.1007/s12083-017-0620-2
  2. Sequential-index pattern mining for lifecare telecommunication platform pp.1573-7543, 2018, https://doi.org/10.1007/s10586-018-2852-1