Journal of Korean Medical classics (대한한의학원전학회지)

The Society of Korean Medical Classics (대한한의학원전학회)
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Investigation of the Possibility of Research on Medical Classics Applying Text Mining - Focusing on the Huangdi's Internal Classic -

텍스트마이닝(Text mining)을 활용한 한의학 원전 연구의 가능성 모색 -『황제내경(黃帝內經)』에 대한 적용례를 중심으로 -

  • Bae, Hyo-jin (Department of Physiology, College of Korean Medicine, Gachon University) ;
  • Kim, Chang-eop (Department of Physiology, College of Korean Medicine, Gachon University) ;
  • Lee, Choong-yeol (Department of Physiology, College of Korean Medicine, Gachon University) ;
  • Shin, Sang-won (Institute of Oriental Medical Classics) ;
  • Kim, Jong-hyun (Dept. of Medical Classics and History, College of Korean Medicine, Gachon University)
  • 배효진 (가천대학교 한의과대학 생리학교실) ;
  • 김창업 (가천대학교 한의과대학 생리학교실) ;
  • 이충열 (가천대학교 한의과대학 생리학교실) ;
  • 신상원 (한의학고전연구소) ;
  • 김종현 (가천대학교 한의과대학 원전의사학교실)
  • Received : 2018.10.31
  • Accepted : 2018.11.19
  • Published : 2018.11.25
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Abstract

Objectives : In this paper, we investigated the applicability of text mining to Korean Medical Classics and suggest that researchers of Medical Classics utilize this methodology. Methods : We applied text mining to the Huangdi's internal classic, a seminal text of Korean Medicine, and visualized networks which represent connectivity of terms and documents based on vector similarity. Then we compared this outcome to the prior knowledge generated through conventional qualitative analysis and examined whether our methodology could accurately reflect the keyword of documents, clusters of terms, and relationships between documents. Results : In the term network, we confirmed that Qi played a key role in the term network and that the theory development based on relativity between Yin and Yang was reflected. In the document network, Suwen and Lingshu are quite distinct from each other due to their differences in description form and topic. Also, Suwen showed high similarity between adjacent chapters. Conclusions : This study revealed that text mining method could yield a significant discovery which corresponds to prior knowledge about Huangdi's internal classic. Text mining can be used in a variety of research fields covering medical classics, literatures, and medical records. In addition, visualization tools can also be utilized for educational purposes.

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