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Design and Implementation of Healthcare System for Chronic Disease Management

첫 페이지 보기
  • 발행기관
    국제인공지능학회(구 한국인터넷방송통신학회) 바로가기
  • 간행물
    International Journal of Internet, Broadcasting and Communication KCI 등재후보 바로가기
  • 통권
    Vol.10 No.3 (2018.08)바로가기
  • 페이지
    pp.88-96
  • 저자
    Mi-Hwa Song
  • 언어
    영어(ENG)
  • URL
    https://www.earticle.net/Article/A338343

※ 원문제공기관과의 협약기간이 종료되어 열람이 제한될 수 있습니다.

원문정보

초록

영어
Chronic diseases management can be effectively achieved through early detection, continuous treatment, observation, and self-management, rather than a radar approach where patients are treated only when they visit a medical facility. However, previous studies have not been able to provide integrated chronic disease management services by considering generalized services such as hypertension and diabetes management, and difficult to expand and link to other services using only specific sensors or services. This paper proposes clinical rule flow model based on medical data analysis to provide personalized care for chronic disease management. Also, we implemented that as Rule-based Smart Healthcare System (RSHS). The proposed system executes chronic diseases management rules, manages events and delivers individualized knowledge information by user's request. The proposed system can be expanded into a variety of applications such as diet and exercise service in the future.

목차

Abstract
 1. Introduction
 2. Related Works
  2.1 Chronic disease management services
  2.2 Computerized Guideline
  2.3 Rule-based expert system
  2.4 Rule-Based Engine Application of Healthcare Service
 3. Rule Model for Smart Healthcare
  3.1 Clinical Rule Model
  3.2 Conversion of rules of chronic disease guidelines
 4. System Implementation
  4.1 System Architecture
  4.2 Results
 5. Conclusion
 Acknowledgement
 References

키워드

Rule-based engine Chronic Diseases Management Decision support system Healthcare

저자

  • Mi-Hwa Song [ Division of Information and communication technology, Semyung University, Jechon, Korea ] Corresponding author

참고문헌

자료제공 : 네이버학술정보

간행물 정보

발행기관

  • 발행기관명
    국제인공지능학회(구 한국인터넷방송통신학회) [The International Association for Artificial Intelligence]
  • 설립연도
    2000
  • 분야
    공학>전자/정보통신공학
  • 소개
    인터넷방송, 인터넷 TV , 방송 통신 네트워크 및 관련 분야에 대한 국내는 물론 국제적인 학술, 기술의 진흥발전에 공헌하고 지식 정보화 사회에 기여하고자 한다.

간행물

  • 간행물명
    International Journal of Internet, Broadcasting and Communication
  • 간기
    계간
  • pISSN
    2288-4920
  • eISSN
    2288-4939
  • 수록기간
    2009~2025
  • 십진분류
    KDC 326 DDC 380

이 권호 내 다른 논문 / International Journal of Internet, Broadcasting and Communication Vol.10 No.3

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