Classifying depression patients and normal subjects using machine learning techniques

Depression is one of the most common mental disorder that at its worst can lead to suicide. Diagnosing depression in the early curable stage is very important. In this paper we study performance of different classification techniques for classifying depression patients from normal subjects. For this...

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Bibliographische Detailangaben

Hauptverfasser:	Hosseinifard, B., Moradi, M. H., Rostami, R.
Format:	Tagungsbericht
Sprache:	eng
Schlagworte:	Accuracy Band pass filters Depression EEG Electroencephalography genetic algorithm Genetic algorithms Linear discriminant analysis Logistics Power Spectrum Support Vector Machine Support vector machines Training data
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