중풍변증분류에 사용되는 판별분석모형과 일반화로짓모형의 비교

• Published in: 동의생리병리학회지 Vol. 25; no. 2; pp. 318 - 321
• Main Authors: 강병갑(Byoung Kab Kang), 이주아(Ju Ah Lee), 고미미(Mi Mi Ko), 문태웅(Tae Woong Moon), 방옥선(Ok Sun Bang)
• Format: Journal Article
• Language: Korean
• Published: 한의병리학회 2011
• Subjects: 한의학; diagnosis accuracy; Pattern Identification discrimination function; discriminant analysis model; generalized logit mode; generalized logit model
• ISSN: 1738-7698; 2288-2529; 2283-2529

In this study, when a physician make a diagnosis of the Pattern Identifications(PIs) of stroke patients, the development methods of the PIs classification function is considered by diagnostic questionnaire of the PIs for stroke patients. Clinical data collected from 1,502 stroke patients who was identically diagnosed for the PIs subtypes diagnosed by two clinical experts with more than 3 years experiences in 13 oriental medical hospitals. In order to develop the classification function into PIs using the 44 items-Fire&heat(19), Qi-deficiency(11), Yin-deficiency(7), Dampness phlegm(7)- of them was significant statistically by univariate analysis in 61 questionnaires totally, we make some comparisons of the results of discriminant analysis model and generalized logit model. The overall diagnostic accuracy rate of the PIs subtypes for discriminant model(74.37%) was higher than 3% of generalized logit model(70.09%).