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KMID : 1123920110250061113
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Korean Journal of Oriental Physiology and Pathology
2011 Volume.25 No. 6 p.1113 ~ p.1118
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Discriminant Modeling for Pattern Identification Using the Korean Standard PI for Stroke-III
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Kang Byoung-Kab
Ko Mi-Mi
Lee Ju-Ah
Park Tae-Yong
Park Yong-Gyu
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Abstract
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In this paper, when a physician make a diagnosis of the pattern identification (PI) in Korean stroke patients, the development methods of the PI classification function is considered by diagnostic questionnaire of the PI for stroke patients. Clinical data collected from 1,502 stroke patients who was identically diagnosed for the PI subtypes diagnosed by two physicians with more than 3 years experiences in 13 oriental medical hospitals. In order to develop the classification function into PI using Korean Stroke Syndrome Differentiation Standard was consist of the 44 items (Fire heat(19), Qi deficiency(11), Yin deficiency(7), Dampness-phlegm(7)). Using the 44 items, we took diagnostic and prediction accuracy rate through of discriminant model. The overall diagnostic and prediction accuracy rate of the PI subtypes for discriminant model was 74.37%, 70.88% respectively.
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KEYWORD
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Stroke, discriminant model, pattern identification(PI), diagnostic accuracy, prediction accuracy
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