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KMID : 0608520060120020103
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Korean Journal of Oriental Medicine
2006 Volume.12 No. 2 p.103 ~ p.113
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The research on agreement statistics analysis between factors of diagnosis
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Jang Eun-Su
Kim Ho-Seok
Kim Jong-Yeol
Lee Si-Woo
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Abstract
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Objectives: we intended to know how much did it relate with the results between the instruments of diagnosis by using methods of three factors - QSCCⅡ, PSSC (Phonetic System for Sasang Constitution)-2004, and body measurement which are usually used in diagnosing the Sasang Constitution in clinics.
Methods: We diagnosed Sasang constitution through QSCCⅡ, PSSC (Phonetic System for Sasang Constitution)-2004, Body measurement as a dignosis factors and we used Kappa coefficient to estimate simularity between diagnosis factors, and SPSS 12.0K to analyze data.
Results and conclusions: 1. The orders of agreement statistics are different in the currency of Sasang Constitution diagnosis, Soeum-in was highest and Taeum-in lowest in the the fricency of Sasang Conctitution Diagnosis in the QSCCⅡ, Soeum-in was highest Soyang-in lowest in the PSSC and Taeum-in highest, Soyang-in lowest in the body measurement so, we analogized incorrection in Sasang Constitution Diagnosis 2. Among 443 subjects, 156 (35.3%) had same dignosis in three Sasang Constitution factors. It means agreement statistics among factors of diagnosis are very low, so it is absolutely nessessary to research connection among those, especially Soyang-in part. 3. Totally, it is not robust to apply these factors on Sasang Constitution diagnosis, especially agreement statistics between two kinds of Sasang Constitution diagnosis as 0.358~0.380. However, we can have a possibility the more we use Sasang Constitution dignosis factors, the higher the agreement statistics is, through the ascending of agreement statistics as 0.526~0.592, among three kinds of Sasang Constitution diagnosis To evaluate accuracy of Sasang Constitution diagnosis, it is nessessary to collect data from the subjects who are dignosed through the evidences such as herb medicine, disease and normal symption observation, etc. Using these data, we have to evaluate correction of seperated Sasang Constitution diagnosis methods and to connect those.
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KEYWORD
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Sasang Constitution Medicine, Diagnosis of Sasang Constitution, agreement statistics, factor of Diagnosis, Diagnosis Machine, Sasang Constitution
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