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      KCI등재후보 SCOPUS

      모바일 컴퓨팅 환경에서 천식 환자 관리를 위한 데이터마이닝 기법 기반 멀티에이전트 시스템 = Multiagent System using DATA Mining Technique for the Management of Asthma in Mobile Computing Environments

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      https://www.riss.kr/link?id=A101593144

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      다국어 초록 (Multilingual Abstract) kakao i 다국어 번역

      Objective : In the mobile computing environments, doctors or patients with mobile devices can access services at any time, any place. It makes chronic diseases, such as asthma care successively and in long-term. This paper presents a new multiagent system using data mining technique for the management of asthma in mobile computing environments.
      Methods : In mobile computing environments, mobile communication is prone to disconnection. To use the services when disconnected, we locally store the recommendation information in mobile devices. Then, when user reconnects network, the new information is delivered in mobile devices. Because mobile devices have a limitation of resource, we store only patterns and recent data. We adopted data mining technique from the large pool of accumulated patients data can be utilized to summarize observed correlations and trends.
      Results : We propose multiagent system composed of a Pattern Agent, a Selection Agent and a Recommendation Agent. They make asthmatic-caring system access effectively in mobile computing environments. We describe the underlying architecture and the process. Then we make a prototype with asthmatic patients data in the Severance Hospital in Korea.
      Conclusion : The results of our study can be contributed to aid management of asthma in mobile computing environments.
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      Objective : In the mobile computing environments, doctors or patients with mobile devices can access services at any time, any place. It makes chronic diseases, such as asthma care successively and in long-term. This paper presents a new multiagent sy...

      Objective : In the mobile computing environments, doctors or patients with mobile devices can access services at any time, any place. It makes chronic diseases, such as asthma care successively and in long-term. This paper presents a new multiagent system using data mining technique for the management of asthma in mobile computing environments.
      Methods : In mobile computing environments, mobile communication is prone to disconnection. To use the services when disconnected, we locally store the recommendation information in mobile devices. Then, when user reconnects network, the new information is delivered in mobile devices. Because mobile devices have a limitation of resource, we store only patterns and recent data. We adopted data mining technique from the large pool of accumulated patients data can be utilized to summarize observed correlations and trends.
      Results : We propose multiagent system composed of a Pattern Agent, a Selection Agent and a Recommendation Agent. They make asthmatic-caring system access effectively in mobile computing environments. We describe the underlying architecture and the process. Then we make a prototype with asthmatic patients data in the Severance Hospital in Korea.
      Conclusion : The results of our study can be contributed to aid management of asthma in mobile computing environments.

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      참고문헌 (Reference)

      1 "a software agent approachTelemonitoring of patients at home Computer Methods and Programs in Biomedicine 72 2003" 72 : 257-268, 2003

      2 "Web-Based Asthma Care" 9 (9): 111-120, 2003

      3 "The latest knowledge of Asthma treatment Journal of Korean Academy of Family Medecine 1993" 369-382,

      4 "The Challenges in Mobile Computing" 38-47,

      5 "Multiagent platform for Intelligent Medical Service" 7 (7): 123-133, 2001

      6 "Mobile Business" 2004

      7 "Mining Associations between Sets of Items in Massive Databases Proceedings of the ACM-SIGMOD International Conference on Management of Data"

      8 "Data MiningOLAP1st ed" McGraw-Hill 612-612, 1997

      9 "Challenges and Opportunities for Context-Aware Retrieval on Mobile Devices Proceedings of the Workshop on Mobile Personal Information Retrieval at 25th Annual International ACM SIGIR Conference on Research and Development in Information Retrieval" 11--15, 2002aug

      10 "An Overview from a Database Perspective" 8 (8): 866-883, 1996

      1 "a software agent approachTelemonitoring of patients at home Computer Methods and Programs in Biomedicine 72 2003" 72 : 257-268, 2003

      2 "Web-Based Asthma Care" 9 (9): 111-120, 2003

      3 "The latest knowledge of Asthma treatment Journal of Korean Academy of Family Medecine 1993" 369-382,

      4 "The Challenges in Mobile Computing" 38-47,

      5 "Multiagent platform for Intelligent Medical Service" 7 (7): 123-133, 2001

      6 "Mobile Business" 2004

      7 "Mining Associations between Sets of Items in Massive Databases Proceedings of the ACM-SIGMOD International Conference on Management of Data"

      8 "Data MiningOLAP1st ed" McGraw-Hill 612-612, 1997

      9 "Challenges and Opportunities for Context-Aware Retrieval on Mobile Devices Proceedings of the Workshop on Mobile Personal Information Retrieval at 25th Annual International ACM SIGIR Conference on Research and Development in Information Retrieval" 11--15, 2002aug

      10 "An Overview from a Database Perspective" 8 (8): 866-883, 1996

      11 "Agent summary and Research topic" 15 (15): 7-16, 1997

      12 "A Client/Intercept Based System for Optimizing Web Browsing in a Wireless Environment" 3 (3): 419-431, 1998

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      학술지 이력

      학술지 이력
      연월일 이력구분 이력상세 등재구분
      2023 평가예정 해외DB학술지평가 신청대상 (해외등재 학술지 평가)
      2020-01-01 평가 등재학술지 유지 (해외등재 학술지 평가) KCI등재
      2011-01-01 평가 등재 1차 FAIL (등재유지) KCI등재
      2010-04-05 학술지명변경 한글명 : 대한의료정보학회지 -> Healthcare Informatics Research
      외국어명 : Journal of Korean Society of Medical Informatics -> Healthcare Informatics Research
      KCI등재
      2009-01-01 평가 등재학술지 유지 (등재유지) KCI등재
      2006-01-01 평가 등재학술지 선정 (등재후보2차) KCI등재
      2005-01-01 평가 등재후보 1차 PASS (등재후보1차) KCI등재후보
      2003-01-01 평가 등재후보학술지 선정 (신규평가) KCI등재후보
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      학술지 인용정보

      학술지 인용정보
      기준연도 WOS-KCI 통합IF(2년) KCIF(2년) KCIF(3년)
      2016 0.24 0.24 0.21
      KCIF(4년) KCIF(5년) 중심성지수(3년) 즉시성지수
      0.18 0.15 0.434 0.09
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