Why the study?
Does artificial neural network analysis of quantitative EEG predict relapse in alcoholics better than discriminant analysis?
Does artificial neural network analysis of quantitative EEG predict relapse in alcoholics better than discriminant analysis?
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This study compares artificial neural networks and discriminant analysis for predicting relapse in alcoholics using quantitative EEG.
Artificial neural networks (ANN) are widely used to solve problems of differentiating between groups. However, serious comparisons of this method with the traditional procedure for such tasks (discriminant analysis) are rare. Discussing the results of both methods with the example of highly topical data, we try to demonstrate advantages and drawbacks of both methods. For this purpose, quantitative EEGs of 78 alcoholics were investigated in order to determine whether it is possible to predict relapse of these patients at the beginning of treatment. ANN software is available in Kassel (Institute for Computer Sciences and Mathematics).
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Winterer et al. (1997) studied this question.
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