The Journal of the Society of Korean Medicine Diagnostics (대한한의진단학회지)

The Society of Korean Mecicine Diagnostics (대한한의진단학회)
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A Study of Pathogenesis Classification using Decision Tree Method

의사결정나무법을 이이용한 병인(病因)분류에 관한 연구

  • Lee, Hyuk-Jae (Department of Human Informatics of Oriental Medicine, Interdisciplinary Programs, Kyung Hee University) ;
  • Kim, Min-Yong (Department of Human Informatics of Oriental Medicine, Interdisciplinary Programs, Kyung Hee University) ;
  • Oh, Hwan-Sup (Department of Human Informatics of Oriental Medicine, Interdisciplinary Programs, Kyung Hee University) ;
  • Park, Young-Bae (Department of Human Informatics of Oriental Medicine, Interdisciplinary Programs, Kyung Hee University)
  • 이혁재 (경희대학교 한의과대학 학과간협동과정 한방인체정보의학과) ;
  • 김민용 (경희대학교 한의과대학 학과간협동과정 한방인체정보의학과) ;
  • 오환섭 (경희대학교 한의과대학 학과간협동과정 한방인체정보의학과) ;
  • 박영배 (경희대학교 한의과대학 학과간협동과정 한방인체정보의학과)
  • Published : 2008.12.31
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Abstract

Background : In spite of the predominant of the theory of Pathogenesis, the method of Pathogenesis classification is depending on the doctor's clinical trials because od the lack of the objective test criteria. Methods and Results : This study is trying to improve the objectiveness of classification using a new statistical method, decision tree. Decision tree method -a classification technique in the statistical analysis- was used to analyze the result of pathogenesis questionnaire instead of using discriminant analysis. As a result, 10 among 38 pathogenesis questionnaire was selected as important questions and 12 terminal nodes was built to classify the pathogenesis. Conclusions : Using only 10 questions shown in the result of decision tree, we can classify and interpret the pathogenesis easily and effectively.

Keywords