A Structural Analysis of Sanghanron by Network Model - Centered on Symptoms and Herbs of Taeyangbyung Compilation in Sanghanron -

네트워크 모델을 통한 상한론(傷寒論) 구조분석 연구 - 태양병(太陽病) 증상(症狀)-처방(處方)을 중심으로 -

  • Hong, Dae-Ki (Dept. of Human Informatics of Oriental Medicine and Interdisciplinary Programs, Kyung Hee University) ;
  • Yook, Soon-Hyung (Dept. of Physics and Research Institute for Basic Sciences, Kyung Hee University) ;
  • Kim, Min-Yong (School of Business Administration, Kyung Hee University) ;
  • Park, Young-Jae (Dept. of Human Informatics of Oriental Medicine and Interdisciplinary Programs, Kyung Hee University) ;
  • Oh, Hwan-Sup (Dept. of Human Informatics of Oriental Medicine and Interdisciplinary Programs, Kyung Hee University) ;
  • Nam, Dong-Hyun (Dept. of Human Informatics of Oriental Medicine, Sang Ji University) ;
  • Park, Young-Bae (Dept. of Human Informatics of Oriental Medicine and Interdisciplinary Programs, Kyung Hee University)
  • 홍대기 (경희대학교 한의과대학 한방인체정보의학교실) ;
  • 육순형 (경희대학교 물리학과 및 기초과학 연구소) ;
  • 김민용 (경희대학교 경영학과) ;
  • 박영재 (경희대학교 한의과대학 한방인체정보의학교실) ;
  • 오환섭 (경희대학교 한의과대학 한방인체정보의학교실) ;
  • 남동현 (상지대학교 한의과대학 진단.생기능의학교실) ;
  • 박영배 (경희대학교 한의과대학 한방인체정보의학교실)
  • Received : 2010.09.08
  • Accepted : 2010.10.22
  • Published : 2011.01.30

Abstract

Background: This was a study to analyze Sanghanron through network theory, as the first attempt to construct network models for systems biomedicine in traditional Korean medicine. For this purpose, we investigated the network structure with priority given to two-node connections between symptoms and herbs of Taeyangbyung compilation in Sanghanron. Purpose: We had three goals in carrying out this study. First, to establish the minimum clinical grouping data sets for symptoms and herbs of Taeyangbyung compilation in Sanghanron. Second, to make index files for the obtained data sets. Third, to generate a network structure for systems biomedicine in this part, and analyze its relationship. Methods: Using MS office Excel and Netminer software, we constructed the minimum clinical grouping data sets and the network for systems biomedicine about symptoms and herbs of Taeyangbyung compilation in Sanghanron, and analyzed its relationship. Results: We established the minimum clinical grouping data sets for symptoms and herbs of Taeyangbyung compilation in Sanghanron, using MS Excel. We constructed a network to structurize our database through two-node connections of Netminer program, and analyzed its relationships. Conclusions: Further research on network model for systems biomedicine between symptoms and herbs for three Yang and three Um(Taeyang, Soyang, Yangmyung, Taeum, Soum, Gualum) disease compilation is necessary.

Keywords

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