A study of constitution diagnosis using decision tree method

의사결정나무법을 이용한 체질진단에 관한 연구

  • Lee, Yong-Seop (Dept. of Statistics, DongGuk Univ.) ;
  • Park, Seong-Sik (Dept. of Sasang Constitutional Medicine, College of Oriental Medicine, DongGuk Univ.) ;
  • Park, Eun-Kyung (Dept. of Sasang Constitutional Medicine, College of Oriental Medicine, DongGuk Univ.)
  • 이영섭 (동국대학교 통계학과) ;
  • 박성식 (동국대학교 한의과대학 사상체질과) ;
  • 박은경 (동국대학교 한의과대학 사상체질과)
  • Published : 2001.08.31

Abstract

By the increasing concern about Sasang Constitution Medicine, its practical use is considered very important in disease prevention and medical treatment. However, the method of constitution classification is depending on the doctor's clinical trials because of the lack of the objective test criteria. This study is trying to improve the objectiveness of diagnosis using a new statistical method, decision tree. Decision tree method-a classification technique in the statistical analysis- was used to analyze the result of QSCCII instead of using discriminant analysis. As a result, 16 among 121 QSCCII questions was selected as important questions and 21 terminal nodes was built to classify the constitution. Using only 16 questions shown in the result of decision tree, we can diagnose and interpret the constitution easily and effectively.

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