Analysis of quantitative EEG with artificial neural networks and discriminant analysis--a methodological comparison
| Autor: | M. Ziller, L.G. Schmidt, Georg Winterer, Bert Klöppel, Andreas Heinz, Werner Herrmann |
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| Rok vydání: | 1998 |
| Předmět: |
Temperance
Electroencephalography Machine learning computer.software_genre Quantitative eeg Developmental psychology Software Recurrence medicine Humans Spectral analysis Biological Psychiatry medicine.diagnostic_test Artificial neural network business.industry Discriminant Analysis Linear discriminant analysis Psychiatry and Mental health Alcoholism Neuropsychology and Physiological Psychology Quantitative analysis (finance) Artificial intelligence Neural Networks Computer Psychology business computer Algorithms |
| Zdroj: | Neuropsychobiology. 37(1) |
| ISSN: | 0302-282X |
| Popis: | 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). |
| Databáze: | OpenAIRE |
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