Prediction of Schizophrenia Using Feature Extraction Methods with EEG Data

Schizophrenia is a mental disorder that causes some motor dysfunctions in individuals and causes psychotic symptoms. It is believed that machine learning algorithms offer support in the detection and treatment process of the disease. In this study, a system that predicts schizophrenia disease with machine learning algorithms is proposed using resting EEG data. Filtering process, feature extraction methods and cross-validation were performed before machine learning.