Korean Journal of Acupuncture

Society for Meridian and Acupoint (경락경혈학회)
권호 표지
DOI QR코드

DOI QR Code

A Structural Analysis of Acupuncture & Moxibustion Points in the NaeGyeong Chapter of DongUiBoGam Using Text Mining

텍스트마이닝을 이용한 동의보감의 질병인식방식과 내경편 침구법 경혈 특성 분석

  • Lee, Taehyung (Acupuncture and Meridian Science Research Center, College of Korean Medicine, Kyung Hee University) ;
  • Jung, Won-Mo (Department of Brain Cognitive Engineering, Korea University) ;
  • Lee, In-Seon (Acupuncture and Meridian Science Research Center, College of Korean Medicine, Kyung Hee University) ;
  • Lee, Hyejung (Acupuncture and Meridian Science Research Center, College of Korean Medicine, Kyung Hee University) ;
  • Kim, Namil (Department of Medical History, College of Korean Medicine, Kyung Hee University) ;
  • Chae, Younbyoung (Acupuncture and Meridian Science Research Center, College of Korean Medicine, Kyung Hee University)
  • 이태형 (경희대학교 한의과대학 침구경락과학연구센터) ;
  • 정원모 (고려대학교 뇌공학과) ;
  • 이인선 (경희대학교 한의과대학 침구경락과학연구센터) ;
  • 이혜정 (경희대학교 한의과대학 침구경락과학연구센터) ;
  • 김남일 (경희대학교 한의과대학 의사학교실) ;
  • 채윤병 (경희대학교 한의과대학 침구경락과학연구센터)
  • Received : 2013.11.29
  • Accepted : 2013.12.13
  • Published : 2013.12.27
Download PDF
⟨ Previous Next ⟩

Abstract

Objectives : DongUiBoGam is a representative medical literature in Korea. This research intends to structurally grasp how DongUiBoGam understands the human body and review the methods of acupuncture and moxibustion in the NaeGyeong chapter of it using text mining. Methods : The structure of DongUiBoGam was analyzed with specific parts of the book that described contents, major premises of understanding the human body, and processes of treatment. We analyzed characteristics of each acupoints in a relationship with causes of diseases & symptoms in the NaeGyeong chapter using a Term Frequency - Inverse Document Frequency(TFIDF). Results : Three different categories of pattern identification(PI) were formed after structural analysis of DongUiBoGam. Every causes of diseases & symptoms were transformed according to the three categories of PI. After analyzing the relationship between acupoints and causes of diseases & symptoms, 114 acupoints were visualized with TFIDF values of three PI categories. Conclusions : The selection of acupoints in NaeGyeong chapter of DongUiBoGam were linked to causes of diseases & symptoms based on the three PI categories. Through visualization of bipartite relationships between acupoints and causes of diseases & symptoms, we could easily understand characteristics of each acupoint.

Keywords

References

  1. Heo J. DongUiBoGam. 2nd ed. Seoul : NamSanDang. 2004.
  2. Kim NI. Brief History of Research on DongUiBoGam. Journal of Hyungsang Oriental Medicine. 2007 ; 8(1) : 175-94.
  3. Huh J, Hong WS. A Study on the Classification Method of Symptoms in Dong Eue Bo Kahm. Journal of Kyung Hee Oriental Medicine College. 1990 ; 13 : 345-425.
  4. Park MH. A Study of Huh-Im's ChimGuKyungHumBang. Kyung Hee University. 2002.
  5. Oh JH. A Study on the Acupuncture Methods of Joseon-Korea Dynasty Using Five Viscera Diagnosis. Kyung Hee University. 2010.
  6. Oh JH, Cha WS, Kim NI. A Study on DongUiBoGam ChimGu Chapter Based on the NaeGyeong Chapter. The Journal of Korean Medical History. 2004 ; 17(1) : 119-41.
  7. Yang DH, Kang JH, Park YB, Park YJ, Oh HS, Kim SB. Association Rule Mining and Network Analysis in Oriental Medicine. PLOS one. 2013 ; 8 : e59241. https://doi.org/10.1371/journal.pone.0059241
  8. Lee HJ, Cha WS, Kim NI. A Study on the Main Points of DongUiBoGam based on the Preface and Compiled Examples of DongUiBoGam. The Journal of Korean Medical History. 2004 ; 17(1) : 177-94.
  9. Kim NI. Korean Medicine in History and Culture. The Eighth International Congress on Traditional Asian Medicine. 2013.
  10. Sung MG, Jeong CH. A Comparative Study on Sinhyeongjangbudo. The Journal of Oriental Medical Classics. 2008 ; 21(3) : 165-75.
  11. Ko H. Study of Relationship between China BeunJungLonChi and DongEuiBoGam BeunJungLonChi. Korean J. Oriental Physiology & Pathology. 2004 ; 18(1) : 16-21.
  12. Joachims T. A Probabilistic Analysis of the Rocchio Algorithm with TFIDF for Text Categorization. Carnegie Mellon University, Technical Report. 1996 : 96-118.
  13. Shin DW, Kim NI, Yeo IS. Reading DongUiBoGam in One Book. 1st ed. Seoul : DeulNyuk. 1999.
  14. Han BJ. A Study on Drawings in Dong-uibogam. Kyung Hee University. 2010.
  15. Park SK. Heojun's Outlook on Human Beings. Kyung Hee University. 2009.
  16. Shin SM, Kim GT, Ko H. The Effect of Appearances and Colors on Prescriptions Selection in Syndrome Differentiation Diagnosis- Focused on dificiency of Qi and blood, deficiency of Yin and damp phlegm. Journal of Semyung Oriental Medicine College. 2009 ; 12 : 1-12.
  17. Jung HG. Special Lecture DongUiBoGam. 1st ed. KyungNam : DongUiBoGam Publishing. 2007.

Cited by

  1. Data Mining of Acupoint Characteristics from the Classical Medical Text:DongUiBoGamof Korean Medicine vol.2014, 2014, https://doi.org/10.1155/2014/329563
  2. 국내 학술지를 통해 살펴 본 변증(辨證)의 의미 고찰 vol.27, pp.2, 2013, https://doi.org/10.15521/jkmh.2014.27.2.039
  3. 표치와 본치의 측면에서 경혈 선혈의 원리 vol.37, pp.3, 2013, https://doi.org/10.14406/acu.2020.015