Abstract
<p><em>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.</em></p>
Keywords
Electroencephalography
Schizophrenia (object-oriented programming)
Feature extraction
Pattern recognition (psychology)
Artificial intelligence
Computer science
Feature (linguistics)
Psychology
Psychiatry
Subject Areas
EEG and Brain-Computer Interfaces
·Cognitive Neuroscience ·Life Sciences
ECG Monitoring and Analysis
·Cardiology and Cardiovascular Medicine ·Health Sciences
Functional Brain Connectivity Studies
·Cognitive Neuroscience ·Life Sciences
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