한국컴퓨터정보학회논문지 (Journal of the Korea Society of Computer and Information)

  • 제19권5호
  • /
  • Pages.11-18
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  • 2014
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  • 1598-849X(pISSN)
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  • 2383-9945(eISSN)
한국컴퓨터정보학회 (Korean Society of Computer Information)
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ART2 기반 지능형 자가 건강 진단 시스템의 개발

Developing an Intelligent Self-Health Pre-Diagnosing System based on ART2

  • 김광백 (신라대학교 컴퓨터공학과)
  • 투고 : 2014.04.30
  • 심사 : 2014.05.22
  • 발행 : 2014.05.31
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⟨ 이전 논문 다음 논문 ⟩

초록

본 논문에서는 ART2 알고리즘을 이용하여 질병을 도출하고 증상의 차이를 구분하기 위해서 애매한 증상의 정도를 퍼지 추론 방법에 적용하여 더욱더 정확한 질병 상세를 도출할 수 있는 개선된 자가진단 시스템을 제시한다. 본 논문에서 제안한 방법을 전문의에게 분석을 의뢰한 결과, 본 논문에서 제안된 자가진단 시스템 방법이 이전의 방법보다, 지능형 자가 보조 진단 시스템으로서 사용자에게 더욱 효과적인 도움을 줄 수 있는 가능성을 확인하였다.

In this paper, we propose a self-diagnosis system that is based on the ART2 algorithm in order to extract more detailed disease information by fuzzy reasoning method especially when the boundary of perceived symptoms are not clearly classified into disease categories. With that modification from previous version of the self health pre-diagnosis system, the proposed one is verified as more effective by field experts' evaluation as an intelligent assistant tool for public users before they consult with medical experts.

키워드

참고문헌

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