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This paper considers the problem of metric classification of early Parkinsonism in the feature space of multi-channel signals of electroencephalography (EEG). The electroencephalography feature space includes both spectral characteristics and features of rhythmic disorganization. A model of logistic regression for the classification of early Parkinsonism is studied. The model was trained on the data...