Artificial intelligence-based classification of schizophrenia: A high density electroencephalographic and support vector machine study

Abstract

SVM-based classification and sub-classification of SCZ using EEG data is optimal and might help in improving the "validity" and reducing the "heterogeneity" in the diagnosis of SCZ. These results might only be generalized to acute and moderately ill male SCZ patients.