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Development of Korean Medicine Data Center(KDC) Teaching Dataset to Enhance Utilization of KDC

한의임상정보은행 활용도 제고를 위한 교육용 데이터 개발

  • Baek, Younghwa (Mibyeong Research Center, Korea Institute of Oriental Medicine) ;
  • Lee, Siwoo (Mibyeong Research Center, Korea Institute of Oriental Medicine)
  • 백영화 (한국한의학연구원 미병연구단) ;
  • 이시우 (한국한의학연구원 미병연구단)
  • Received : 2017.09.14
  • Accepted : 2017.09.21
  • Published : 2017.09.30

Abstract

Objective Korean medicine Data Center (KDC) has established large-scale biological and clinical data based on Korean medicine to demonstrate and validate its theory. The aim of this study was to develop KDC teaching dataset and user guideline to improve utilization of the KDC. Method KDC teaching dataset were selected using stratified random sampling according to the Sasang constitution (SC). This dataset included 72 variables of 500 sample subjects. The user guideline described how to conducted eight statistical analysis methods using the teaching dataset. Results The KDC teaching dataset was sampled from 200(40%) Taeeumin, 125(25%) Soeumin, and 175(35%) Soyanain. It was consisted of questionnaire (basic, habit, disease, symptom), physical exam (body measurement, blood pressure), blood exam, and expert' SC diagnosis. The usage guidelines provided instruction for users to perform several statistical analysis step by step with KDC teaching dataset. Conclusion We hope that our results will contribute to enhancing KDC utilization and understanding.

Keywords

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