Work

Prediction of Schizophrenia Using Feature Extraction Methods with EEG Data

Year: 2024

Type: article

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.

Source: Orclever Proceedings of Research and Development

DOI: 10.56038/oprd.v5i1.528

Authors: Osman Küçük, İsmail Cantürk

Institution: Yıldız Technical University

Language: English

Topic: EEG and Brain-Computer Interfaces

Subfield: Cognitive Neuroscience

Field: Neuroscience

Domain: Life Sciences

SDG: Good health and well-being

Open Access status: diamond

OpenAlex ID: W4406421239

FWCI:

Cites: 12

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Related to: 10