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고혈압관리를 위한 웹 기반의 지능정보시스템: 하이퍼링크를 이용한 추론방식으로

Other Titles
 Web-enabled Healthcare System for Hypertension: Hyperlink-based Inference Approach 
Authors
 Song Yong-Uk  ;  Ho Seung-Hee  ;  Cho Kyoung-Won  ;  Chae Young-Moon 
Citation
 한국지능정보시스템학회 논문지, Vol.9(1) : 91-107, 2003 
Journal Title
한국지능정보시스템학회 논문지
ISSN
 2288-4866 
Issue Date
2003
MeSH
Expert Systems ; HTML ; Hypertension ; Inference ; WWW
Keywords
Expert Systems ; HTML ; Hypertension ; Inference ; WWW
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.
Files in This Item:
T200303839.pdf Download
Appears in Collections:
4. Graduate School of Public Health (보건대학원) > Graduate School of Public Health (보건대학원) > 1. Journal Papers
Yonsei Authors
Chae, Young Moon(채영문)
URI
https://ir.ymlib.yonsei.ac.kr/handle/22282913/113675
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