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고혈압관리를 위한 웹 기반의 지능정보시스템: 하이퍼링크를 이용한 추론방식으로
DC Field | Value | Language |
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dc.contributor.author | 채영문 | - |
dc.date.accessioned | 2015-07-15T16:49:36Z | - |
dc.date.available | 2015-07-15T16:49:36Z | - |
dc.date.issued | 2003 | - |
dc.identifier.issn | 2288-4866 | - |
dc.identifier.uri | https://ir.ymlib.yonsei.ac.kr/handle/22282913/113675 | - |
dc.description.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. | - |
dc.description.statementOfResponsibility | open | - |
dc.format | application/pdf | - |
dc.relation.isPartOf | 한국지능정보시스템학회 논문지 | - |
dc.rights | CC BY-NC-ND 2.0 KR | - |
dc.rights.uri | https://creativecommons.org/licenses/by-nc-nd/2.0/kr/ | - |
dc.subject.MESH | Expert Systems | - |
dc.subject.MESH | HTML | - |
dc.subject.MESH | Hypertension | - |
dc.subject.MESH | Inference | - |
dc.subject.MESH | WWW | - |
dc.title | 고혈압관리를 위한 웹 기반의 지능정보시스템: 하이퍼링크를 이용한 추론방식으로 | - |
dc.title.alternative | Web-enabled Healthcare System for Hypertension: Hyperlink-based Inference Approach | - |
dc.type | Article | - |
dc.contributor.college | Graduate School of Public Health (보건대학원) | - |
dc.contributor.department | Graduate School of Public Health (보건대학원) | - |
dc.contributor.googleauthor | Song Yong-Uk | - |
dc.contributor.googleauthor | Ho Seung-Hee | - |
dc.contributor.googleauthor | Cho Kyoung-Won | - |
dc.contributor.googleauthor | Chae Young-Moon | - |
dc.admin.author | false | - |
dc.admin.mapping | false | - |
dc.contributor.localId | A04019 | - |
dc.relation.journalcode | J02840 | - |
dc.subject.keyword | Expert Systems | - |
dc.subject.keyword | HTML | - |
dc.subject.keyword | Hypertension | - |
dc.subject.keyword | Inference | - |
dc.subject.keyword | WWW | - |
dc.contributor.alternativeName | Chae, Young Moon | - |
dc.contributor.affiliatedAuthor | Chae, Young Moon | - |
dc.rights.accessRights | free | - |
dc.citation.volume | 9 | - |
dc.citation.number | 1 | - |
dc.citation.startPage | 91 | - |
dc.citation.endPage | 107 | - |
dc.identifier.bibliographicCitation | 한국지능정보시스템학회 논문지, Vol.9(1) : 91-107, 2003 | - |
dc.identifier.rimsid | 44837 | - |
dc.type.rims | ART | - |
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