그래프 기반 한의 예후 분석 - 팔강육음, 기혈진액, 장부 변증을 중심으로 -
Analysis of Prognosis Graphs in Korean Medicine
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초록
We in this paper propose a prognosis graph, analyzing prognoses of each pattern described in the Korean medicine literatures. This graph is represented as the integrated graphs about knowledge of patterns and their transitions in the prognoses, where a node becomes a pattern name and a edge becomes a transition between patterns, along with a condition with respect to cause or mechanism of the pattern. The knowledge of prognoses which a pattern is transit into another pattern can be identified at a glance by using this model. We also construct a upper-level prognosis graph, excluding five viscera and six entrails from the model. This upper-level prognosis graph contains the conceptual knowledge than clinical one so that it may be helpful to students and researchers in the Korean medicine fields.
Abstract
We in this paper propose a prognosis graph, analyzing prognoses of each pattern described in the Korean medicine literatures. This graph is represented as the integrated graphs about knowledge of patterns and their transitions in the prognoses, where a node becomes a pattern name and a edge becomes a transition between patterns, along with a condition with respect to cause or mechanism of the pattern. The knowledge of prognoses which a pattern is transit into another pattern can be identified at a glance by using this model. We also construct a upper-level prognosis graph, excluding five viscera and six entrails from the model. This upper-level prognosis graph contains the conceptual knowledge than clinical one so that it may be helpful to students and researchers in the Korean medicine fields.
참고문헌 (6)
- 한의진단명과 진단요건의 표준화연구(III), "한국한의학연구원", 한국한의학연구원, ~ (1997)
- 전국한의과대학병리학교실, "한방병리학", pp.205~265 (2004), 一中社
- 수학적 예후 모델 기반 약재 추론 알고리즘 연구, "한국한의학연구원", ~ (2011)
- 박경모, "기혈음양의 허증에 대한 한의 진단 모델의 성립과 확장", 동의생리병리학회지, 17(6), pp.1359~1367 (2003), 대한동의병리학회
- 박경모, "증(證)의 수학적 연구 방법론", 동의생리병리학회지, 9(1), pp.209~238 (1994)
- "Microsoft visio"[URL]
