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Web-enabled Healthcare System for Hypertension: Hyperlink-based Inference Approach
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Yong-Uk Song (Department of Management Information Systems, Yonsei University Wonju Campus)
Seung-Hee Ho (Graduate School of Management, Korea Adbanced Institute of Science and Technology)
Young-Moon Chae (Graduate School of Health Policy and Administration, Yonsei University)
Kyoung-Won Cho (Department of Medical Information Systems, Choonhae College)
Vol. 9, No. 1, Page: 91 ~ 107
Keywords
Expert Systems, HTML, Hypertension Inference
Abstract
In the conduct of this study, a web-enabled healthcare system for the management of hypertension was implemented through a hyperlink-based inference approach. The hyperlink-based inference platform was implemented using the hypertext capacity of HTML which ensured accessibility, multimedia facilities, fast response, stability, ease of use and upgrade, and platform independency of expert systems. Many HTML documents, which are hyperlinked to each other based on expert rules, were uploaded beforehand to perform the hyperlink-based inference. The HTML documents were uploaded and maintained automatically by our proprietary tool called the Web-Based Inference System (WeBIS) that supports a graphical user interface (GUI) for the input and edit of decision graphs. Nevertheless, the editing task of the decision graph using the GUI tool is a time consuming and tedious chore when the knowledge engineer must perform it manually. Accordingly, this research implemented an automatic generator of the decision graph for the management of hypertension. As a result, this research suggests a methodology for the development of Web-enabled healthcare systems using the hyperlink-based inference approach and, as an example, implements a Web-enabled healthcare system for hypertension, a platform which performed especially well in the areas of speed and stability.
Show/Hide Detailed Information in Korean
고혈압관리를 위한 웹 기반의 지능정보시스템: 하이퍼링크를 이용한 추론방식으로
송용욱 (연세대학교 원주캠퍼스 경영·정보학부)
호승희 (한국과학기술원 테크노경영대학원)
채영문 (연세대학교 보건대학원 보건정보관리학과)
조경원 (춘해대학 의료정보시스템과)
Abstract
하이퍼링크 기반 추론은 웹의 하이퍼텍스트 기능을 이용함으로써 접근성, 멀티미디어 기능,빠른 응답 시간, 서버의 안정성, 사용 및 업그레이드의 용이성, 플랫폼 독립성 등을 갖는 의료 전문가시스템을 구현할 수 있도록 해 준다. 전문가의 규칙에 따라 서로 하이퍼링크된 HTML문서들은 웹 서버에 적재된 후 추론 기능을 제공하게 되는데, 이러한 HTML문서들은 자체 개발한 WeBIS (Web-based Inference System)라는 GUI 기반 의사결정 그래프 편집 도구에 의해 자동으로 관리된다. 그럼에도 불구하고, 의료분야 전문가시스템이 다루는 규칙베이스의 크기가 큰 경우에 지식공학자가 이들 규칙들을 수작업으로 입력, 관리하는 것이 매우 어렵게 된다. 따라서, 본 연구에서는 고혈압 관리를 위 한 의사결정 그래프 자동 생성 시스템을 개발하였다. 이러한 일련의 과정을 통하여 본 연구에서는 하이퍼링크 기반 추론 기법을 이용하여 웹 기반 의료 전문가 시스템을 개발하는 방법론을 제시하였고, 그 응용으로써 빠른 응답속도와 안정성을 보이는 웹기반 고혈압 관리 시스템을 구현하였다.
Cite this article
JIIS Style
Song, Y.-U., S.-H. Ho, Y.-M. Chae, and K.-W. Cho, "Web-enabled Healthcare System for Hypertension: Hyperlink-based Inference Approach", Journal of Intelligence and Information Systems, Vol. 9, No. 1 (2003), 91~107.

IEEE Style
Yong-Uk Song, Seung-Hee Ho, Young-Moon Chae, and Kyoung-Won Cho, "Web-enabled Healthcare System for Hypertension: Hyperlink-based Inference Approach", Journal of Intelligence and Information Systems, vol. 9, no. 1, pp. 91~107, 2003.

ACM Style
Song, Y.-U., Ho, S.-H., Chae, Y.-M., and Cho, K.-W., 2003. Web-enabled Healthcare System for Hypertension: Hyperlink-based Inference Approach. Journal of Intelligence and Information Systems. 9, 1, 91--107.
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@article{Song:JIIS:2003:152,
author = {Song, Yong-Uk and Ho, Seung-Hee and Chae, Young-Moon and Cho, Kyoung-Won},
title = {Web-enabled Healthcare System for Hypertension: Hyperlink-based Inference Approach},
journal = {Journal of Intelligence and Information Systems},
issue_date = {June 2003},
volume = {9},
number = {1},
month = Jun,
year = {2003},
issn = {2288-4866},
pages = {91--107},
url = {},
doi = {},
publisher = {Korea Intelligent Information System Society},
address = {Seoul, Republic of Korea},
keywords = { Expert Systems, HTML and Hypertension Inference },
}
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%A Seung-Hee Ho
%A Young-Moon Chae
%A Kyoung-Won Cho
%T Web-enabled Healthcare System for Hypertension: Hyperlink-based Inference Approach
%J Journal of Intelligence and Information Systems
%@ 2288-4866
%V 9
%N 1
%P 91-107
%D 2003
%R
%I Korea Intelligent Information System Society