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KMID : 0615720120290050061
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Jouranl of Korean Acupuncture and Moxibustion society
2012 Volume.29 No. 5 p.61 ~ p.74
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Development of Knee Pain Diagnosis Questionnaire and Clinical Study of Diagnostic Correspondent Rate
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Hwang Ji-Hoo
Kim Yu-Jong
Kim Eun-Jung
Lee Cham-Kyul
Lee Eun-Yong
Lee Seung-Deok
Kim Kap-Sung
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Abstract
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Objectives : This study is perfomed for preparation of oriental medicine clinical guidelines for drawing up the standards of oriental medicine demonstration and diagnosis classification about the knee pain.
Methods : Statistical analysis about Crane's-knee wind(鶴膝風), arthralgia syndrome(痺症), knee injury(膝傷), gout arthritis(痛風), Youk jeol poung(歷節風) classified experts' opinions about knee pain patients by Delphi method is conducted by using oriental medicine diagnosis questionnaire. The result was classified by using linear discriminant analysis(LDA), diagonal linear discriminant analysis(DLDA), diagonal quadratic discriminant analysis(DQDA), K-nearest neighbor classification(KNN), classification and regression trees(CART), support vector machines(SVM).
Results : The results are summarized as follows. 1. The result analyzed by using LDA has a hit rate of 81.65% in comparison with the original diagnosis. 2. The result analyzed by using DLDA has a hit rate of 63.3% in comparison with the original diagnosis. 3. The result analyzed by using DQDA has a hit rate of 65.14% in comparison with the original diagnosis. 4. The result analyzed by using KNN has a hit rate of 74.31% in comparison with the original diagnosis. 5. The result analyzed by using CART has a hit rate of 75.23% in comparison with the original diagnosis when the test of selected 13 significant questions based on analysis of variance was performed. 6. The result analyzed by using SVM has a hit rate of 87.16% in comparison with the original diagnosis.
Conclusions : Statistical analysis using oriental medicine diagnosis questionnaire on knee pain generally turned out to have a significant result.
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KEYWORD
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knee pain , Crane's-knee wind , arthralgia syndrome , knee injury , gout arthritis , Youk-jeol poung , diagnosis questionnaire , clinical guideline
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