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Research Article Open AccessOrclever Native
Prediction of Schizophrenia Using Feature Extraction Methods with EEG Data
1Yildiz Technical University
2Yildiz Technical University
Published:December 31, 2024
DOI: 10.56038/oprd.v5i1.528
Vol. 5, No. 1 · pp. 210–214
Abstract
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.
Keywords
Biomedical EnginneringMachine LearningSchizophreniaEEG
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Cite This Article
Küçük, O., Cantürk, İ. (2024). Prediction of Schizophrenia Using Feature Extraction Methods with EEG Data. *Orclever Proceedings of Research and Development*, 5(1), 210-214. https://doi.org/10.56038/oprd.v5i1.528
Bibliographic Info
JournalOrclever Proceedings of Research and Development
Volume5
Issue1
Pages210–214
PublishedDecember 31, 2024
eISSN2980-020X