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KMID : 0878220110230020194
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Journal of Sasang Constitutional Medicine
2011 Volume.23 No. 2 p.194 ~ p.207
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A Study of Korean’s Face by Sasang Diagnosis Using Questionnaire and 3D AFRA(Automatic Face Recognition Apparatus) in Middle Aged Women
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Yoo Jung-hee
Kwon Jin-Hyeok
Lee Eui-Ju
Kim Jong-Won
Sin Hyun-sang
Park Byung-Ju
Lee Ji-won
Lee Jun-Hee
Koh Byung-Hee
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Abstract
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Objectives: This study is about a development of Sasang constitutional classification algorithm using facial information.
Methods: We analysed the datum of middle aged (20~48) women collected by multi-center researchers in 2007. And this study analysed the data of the measurement of the face by 3D-AFRA (3-Dimensional Automatic Face Recognition Apparatus) and the items of impression by SDQ. We used multiple comparison, exploratory discriminant analysis and clinical decision to select optimal 3D facial variables which will be input in discriminant analysis model. And we used univariate F values and stepwise discriminant function analysis to choose best impression variables.
Results and Conclusions : In this study, derived discriminant function’s explanation power was 39% in female group. Diagnostic accuracy rate was 66.0% in female group. And in test sample, Sasang constitutional diagnostic accuracy rate was 56.9%. In this process we could help improve the objectification of Sasang constitution diagnosis.
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KEYWORD
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SCM (Sasang Constitutional Medicine), 3-Dimension, Facial Analysis, First Impression, Women
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