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Data Mining of Acupoint Characteristics from the Classical Medical Text: DongUiBoGam of Korean Medicine
Joint Authors
Lee, In-Seon
Lee, Hyejung
Lee, Taehyung
Jung, Won-Mo
Lee, Ye-Seul
Kim, Namil
Chae, Younbyoung
Park, Hi-Joon
Source
Evidence-Based Complementary and Alternative Medicine
Issue
Vol. 2014, Issue 2014 (31 Dec. 2014), pp.1-10, 10 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2014-12-09
Country of Publication
Egypt
No. of Pages
10
Main Subjects
Abstract EN
Throughout the history of East Asian medicine, different kinds of acupuncture treatment experiences have been accumulated in classical medical texts.
Reexamining knowledge from classical medical texts is expected to provide meaningful information that could be utilized in current medical practices.
In this study, we used data mining methods to analyze the association between acupoints and patterns of disorder with the classical medical book DongUiBoGam of Korean medicine.
Using the term frequency-inverse document frequency (tf-idf) method, we quantified the significance of acupoints to its targeting patterns and, conversely, the significance of patterns to acupoints.
Through these processes, we extracted characteristics of each acupoint based on its treating patterns.
We also drew practical information for selecting acupoints on certain patterns according to their association.
Data analysis on DongUiBoGam’s acupuncture treatment gave us an insight into the main idea of DongUiBoGam.
We strongly believe that our approach can provide a novel understanding of unknown characteristics of acupoint and pattern identification from the classical medical text using data mining methods.
American Psychological Association (APA)
Lee, Taehyung& Jung, Won-Mo& Lee, In-Seon& Lee, Ye-Seul& Lee, Hyejung& Park, Hi-Joon…[et al.]. 2014. Data Mining of Acupoint Characteristics from the Classical Medical Text: DongUiBoGam of Korean Medicine. Evidence-Based Complementary and Alternative Medicine،Vol. 2014, no. 2014, pp.1-10.
https://search.emarefa.net/detail/BIM-1035159
Modern Language Association (MLA)
Lee, Taehyung…[et al.]. Data Mining of Acupoint Characteristics from the Classical Medical Text: DongUiBoGam of Korean Medicine. Evidence-Based Complementary and Alternative Medicine No. 2014 (2014), pp.1-10.
https://search.emarefa.net/detail/BIM-1035159
American Medical Association (AMA)
Lee, Taehyung& Jung, Won-Mo& Lee, In-Seon& Lee, Ye-Seul& Lee, Hyejung& Park, Hi-Joon…[et al.]. Data Mining of Acupoint Characteristics from the Classical Medical Text: DongUiBoGam of Korean Medicine. Evidence-Based Complementary and Alternative Medicine. 2014. Vol. 2014, no. 2014, pp.1-10.
https://search.emarefa.net/detail/BIM-1035159
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1035159