Remote Diagnosis of Hypertension through HTML-based Backward Inference

  • Song, Yong-Uk (Department of MIS, Yonsei University Wonju Campus) ;
  • Chae, Young-Moon (Graduate School of Health Policy and Administration, Yonsei University) ;
  • Cho, Kyoung-Won (Vivendi Universal Publishing MEDIMEDIA KOREA) ;
  • Ho, Seung-Hee (Graduate School of Health Policy and Administration, Yonsei University)
  • 발행 : 2001.01.01

초록

An expert system for the diagnosis and indication of hypertension is implemented through HTML-based backward inference. HTML-based backward inference is performed using the hypertext function of HTML, and many HTML files, which are hyperlinked to each other based on the backward rules, should be prepared beforehand. The development and maintenance of the HTML files are conducted automatically using the decision graph. Still, the drawing and input of the decision graph is a time consuming and tedious job if it is done manually. So, automatic generator of the decision graph for the diagnosis and indication of hypertension was implemented. The HTML-based backward inference ensures accessibility, multimedia facilities, fast response, stability, easiness, and platform independency of the expert system. So, this research reveals that HTML-based inference approach can be used for many Web-based intelligent site with fast and stable performance.

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