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KMID : 1123920090230061460
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Korean Journal of Oriental Physiology and Pathology
2009 Volume.23 No. 6 p.1460 ~ p.1464
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Discriminant Model for Pattern Identifications in Stroke Patients Based on Pattern Diagnosis Processed by Oriental Physicians
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Lee Jung-Sup
Kim So-Yeon
Kang Byeong-Gab
Ko Mi-Mi
Kim Jeong-Cheol
Oh Dal-Seok
Kim No-Soo
Choi Sun-Mi
Bang Ok-Sun
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Abstract
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In spite of many studies on statistical model for pattern identifications (PIs), little attention has been paid to the complexity of pattern diagnosis processed by oriental physicians. The aim of this study is to develop a statistical diagnostic model which discriminates four PIs using multiple indicators in stroke. Clinical data were collected from 981 stroke patients and 516 data of which PIs were agreed by two independent physicians were included. Discriminant analysis was carried out using clinical indicators such as symptoms and signs which referred to pattern diagnosis, and applied to validation samples which contained all symptoms and signs manifested. Four Fischer’s linear discriminant models were derived and their accuracy and prediction rates were 93.2% and 80.43%, respectively. It is important to consider the pattern diagnosis processed by oriental physicians in developing statistical model for PIs. The discriminant model developed in this study using multiple indicators is valid, and can be used in the clinical fields.
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KEYWORD
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stroke, pattern identification, diagnosis, discrimination model
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