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http://dx.doi.org/10.14406/acu.2013.040

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

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)
Publication Information
Korean Journal of Acupuncture / v.30, no.4, 2013 , pp. 230-242 More about this Journal
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
Acupoint; DongUiBoGam; pattern identification; structural analysis; text mining;
Citations & Related Records
Times Cited By KSCI : 1  (Citation Analysis)
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