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강병갑,고미미,정지연,이주아,Kang, Byoung-Kab,Ko, Mi Mi,Jung, Jeeyoun,Lee, Ju Ah 대한예방한의학회 2017 대한예방한의학회지 Vol.21 No.1
Objectives : The aims of the current study were to assess the reliability and validity of the CoRe-Ditec-BS Questionnaire-II (BSQ-II; Blood stasis questionnaire-II) with 8 items including 5 items related women added to BSQ-I that was consisted of 36 items and developed in 2013. Methods : Between May 2014 and November 2014, 411 patients from 3 traditional Korean medical hospitals were asked to complete the BSQ-II. Each patient was independently diagnosed with BSS by two traditional Korean medical physicians from the same site. We estimated the internal consistency using Cronbach's ${\alpha}$ coefficient, the discriminant validity using the means score of BSS, and the predictive validity using logistic regression (sensitivity and specificity). Results : The BSQ-II had satisfactory internal consistency (Cronbach's ${\alpha}$ coefficient=0.765) and validity, with significant differences in the mean scores between the BSS($63.60{\pm}9.56$) and non-BSS groups($48.36{\pm}5.93$). The area under the receiver operating curve was about 98%, and the sensitivity and specificity were 91.4% and 94.9%, respectively. Conclusions : These results suggest that the CoRE-Ditec-BSQ-II is more reliable and valid instrument for estimating BSS than BSQ-I.
강병갑(Byoung Kab Kang),이정섭(Jung Sup Lee),김소연(So Yeon Kim),최선미(Sun Mi Choi),고미미(Mi Mi Ko),김정철(Jeong Cheol Kim),권세혁(Hyug Kwon),방옥선(Ok Sun Bang) 한국자료분석학회 2009 Journal of the Korean Data Analysis Society Vol.11 No.6
본 연구에서는 한의 변증 표준화를 위한 연구의 일환으로 수집된 임상자료를 이용하여 변증을 보다 객관적으로 변별할 수 있는 주요 지표를 도출하고 이를 이용하여 변증 판별모형을 개발하고자 하였다. 중풍 발병 1개월 이내의 환자를 대상으로 변증 임상자료를 수집하였으며, 임상 경험이 3년 이상인 전문가 2인의 변증이 일치하는 1,448개 임상자료를 분석에 사용하였다. 61개 지표 중에서 단계별선택법을 통해 4개 변증의 진단에 유의한 지표 33개를 선택하였으며, 이 지표들을 사용하여 변증 판별모형(IV)을 개발한 후, 개발된 모형의 진단 정확률과 예측 정확률을 분석하였다. 판별 모형(IV)으로 1,159개 임상자료를 사용하여 개발된 변증 판별 모형(III)과 (IV)에 의한 4개 변증의 진단 정확률은 73.68%(854/1,159)였으며, 289개로 분석한 예측 정확률은 70.59% (204/289)로 나타났다. 변증 진단 판별모형(IV)의 진단 정확률은 각각74.89%, 73.68%이고, 예측 정확률은 각각 69.90%, 70.59%로 유사하였다. In spite of abundant clinical resources of stroke patients, the objective and logical data analyses or diagnostic systems were not established in oriental medicine. As a part of researches for standardization and objectification of differentiation of syndromes for stroke, in this present study, we tried to develop the statistical diagnostic tool discriminating the 4 subtypes of syndrome differentiation using the essential indices. Discriminant analysis was carried out using clinical data collected from 1,448 stroke patients who was identically diagnosed for the syndrome differentiation subtypes diagnosed by two clinical experts with more than 3 year experiences. Empirical discriminant model(IV) was constructed using 33 significant symptoms and sign indices selected by stepwise selection. The overall diagnostic accuracy and prediction rate of 4 syndrome differentiation subtypes for discriminant model (III) and (IV) were almost same as 74.89%, 73.68%, 69.90% and 70.59%, respectively.