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KMID : 1123920040180061938
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Korean Journal of Oriental Physiology and Pathology
2004 Volume.18 No. 6 p.1938 ~ p.1944
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Study on Classification Function into Sasang Constitution Using Data Mining Techniques
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Kim Kyu-Kon
Kim Jong-Won
Lee Eui-Ju
Kim Jong-Yeol
Choi Sun-Mi
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Abstract
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In this study, when we make a diagnosis of constitution using QSCC Ⅱ(Questionnaire of Sasang Constitution Classification). data mining techniques are applied to seek the classification function for improving the accuracy. Data used in the analysis are the questionnaires of 1051 patients who had been treated in Dong Eui Oriental Medical Hospital and Kyung Hee Oriental Medical Hospital. The criteria for data cleansing are the response pattern in the opposite questionnaires and the positive proportion of specific questionnaires in each constitution. And the criteria for variable selection are the test of homogeneity in frequency analysis and the coefficients in the linear discriminant function. Discriminant analysis model and decision tree model are applied to seek the classification function into Sasang constitution. The accuracy in learning sample is similar in two models, the higher accuracy in test sample is obtained in discriminant analysis model.
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KEYWORD
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Sasang constitution, classification function, data mining, frequency analysis, discriminant analysis model, decision tree model
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