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MMPI 분석도구로서 인공신경망 분석과 로지스틱 회귀분석의 비교

Comparison between logistic regression and artificial neural networks as MMPI discriminator

김미숙|정범석|최지욱|이재원|안병은
대한생물정신의학회 (The Korean Society Of Biological Psychiatry)|2005.11|생물정신의학 (Journal of Korean Society of Biological Psychiatry)|제12권 제2호|pp. 98-108

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참고문헌

키워드

인공신경망·로지스틱 회귀분석·다면적 인 성검사.Artificial neural network analysis is a new tool whose frequency of use has been increasing
주제분류정신과학

초록

Abstract

objectives：The purpose of this study is to 1) conduct a discrimination analysis of schizophrenia and bipolar affective disorder using MMPI profile through artificial neural network analysis and logistic regression analysis, 2) to make a comparison between advantages and disadvantages of the two methods, and 3) to demonstrate the usefulness of artificial neural network analysis of psychiatric data. Procedure：The MMPI profiles for 181 schizophrenia and bipolar affective disorder patients were selected. Of these profiles, 50 were randomly placed in the learning group and the remaining 131 were placed in the validation group. The artificial neural network was trained using the profiles of the learning group and the 131 profiles of the validation group were analyzed. A logistic regression analysis was then conducted in a similar manner. The results of the two analyses were compared and contrasted using sensitivity, specificity, ROC curves, and kappa index. Results：Logistic regression analysis and artificial neural network analysis both exhibited satisfactory discriminating ability at Kappa index of greater than 0.4. The comparison of the two methods revealed artificial neural network analysis is superior to logistic regression analysis in its discriminating capacity, displaying higher values of Kappa index, specificity, and AUC(Area Under the Curve) of ROC curve than those of logistic regression analysis.

참고문헌 (25)

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