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Healthcare Platform and Big Data Analysis Based Personal Fitness Healthcare Service Model
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- 발행기관
- 보안공학연구지원센터(IJBSBT) 바로가기
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- 간행물
- International Journal of Bio-Science and Bio-Technology SCOPUS 바로가기
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- 통권
- Vol.8 No.5 (2016.10)바로가기
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- 페이지
- pp.115-128
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- 저자
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- 언어
- 영어(ENG)
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- URL
- https://www.earticle.net/Article/A287687
※ 원문제공기관과의 협약기간이 종료되어 열람이 제한될 수 있습니다.
원문정보
초록
- 영어
- Human beings are living longer these days thanks to developments in medical technology and health care services, and accordingly, the global population is rapidly aging. The increasing aging generation is causing unexpected social problems, one of the most critical of which is government health care costs. Personal gene analysis results and record-based personal health care ICT services should predict and prevent personal diseases while improving wellness. Technically, gene sequencing technology development not only reduces the time to decode genetic information but also decreases the cost. Various disease-related gene mutations have been found, and gene sequencing service is a new paradigm in personal health care. In socioeconomic terms, the proposed service model not only accurately diagnoses diseases to provide effective health care but also reduces government health care costs while promoting personal well-being. In this paper, we propose a PGAR (personal gene analysis record) and PHR (personal health care record)-based personal health care service. We implemented this big data analysis-based health care platform for more accurate disease prediction and prevention. When the personal smart health care ICT service is used, it significantly reduces personal health care costs in hospitals.
목차
Abstract
1. Introduction
2. Related Research
2.1. Health care and ICT Convergence
2.2. Big data Analysis Platform for Health Care
3. Personal Fitness Health Care ICT Service System
3.1. PGAR- and PHR-Based Health Care ICT Platform
3.2. Cohort DB-based Personal Health Information Analysis
3.3. Personal Health Care Mobile Service
4. Implementation and Evaluation
5. Conclusion
References
키워드
u-Health big data ICT PGAR PHR cohort DB저자
간행물 정보
발행기관
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- 발행기관명
- 보안공학연구지원센터(IJBSBT) [Science & Engineering Research Support Center, Republic of Korea(IJBSBT)]
- 설립연도
- 2006
- 분야
- 공학>컴퓨터학
- 소개
- 1. 보안공학에 대한 각종 조사 및 연구 2. 보안공학에 대한 응용기술 연구 및 발표 3. 보안공학에 관한 각종 학술 발표회 및 전시회 개최 4. 보안공학 기술의 상호 협조 및 정보교환 5. 보안공학에 관한 표준화 사업 및 규격의 제정 6. 보안공학에 관한 산학연 협동의 증진 7. 국제적 학술 교류 및 기술 협력 8. 보안공학에 관한 논문지 발간 9. 기타 본 회 목적 달성에 필요한 사업
간행물
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- 간행물명
- International Journal of Bio-Science and Bio-Technology
- 간기
- 격월간
- pISSN
- 2233-7849
- 수록기간
- 2009~2016
- 등재여부
- SCOPUS
- 십진분류
- KDC 505 DDC 605
이 권호 내 다른 논문 / International Journal of Bio-Science and Bio-Technology Vol.8 No.5
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