• Title/Summary/Keyword: Corpus Driven Research

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Deduction of Acupoints Selecting Elements on Zhenjiuzishengjing using hierarchical clustering (계층적 군집분석(hierarchical clustering)을 통한 침구자생경(鍼灸資生經) 경혈 선택 요인 분석)

  • Oh, Junho
    • Journal of Haehwa Medicine
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    • v.23 no.1
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    • pp.115-124
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    • 2014
  • Objectives : There are plenty of medical record of acupuncture & moxibustion in Traditional East Asian medicine(TEAM). We performed this study to find out the hidden criteria lies on this record to choose proper acupoints. Methods : "Zhenjiuzishengjing", ancient TEAM book was analysed using document clustering techniques. Corpus was made from this book. It contained 196 texts driven from each symptoms. Each texts converted to vector representing frequency of 349 acupoints. Distance of vectors calculated by weighted Euclidean distance method. According to this distances, hierarchical clustering of symptoms was builded. Results : The cluster consisted of five large groups. they had high corelation with body part; head and face, chest, abdomen, upper extremity, lower extremity, back. Conclusions : It assumes that body part of symptom is the most importance criteria of acupoints selecting. some high similar symptom vectors consolidated this result. the other criteria is cause and pathway of illness. some symptoms bound together which had common cause and pathway.