CGP17Pat: Automated Schizophrenia Detection Based on a Cyclic Group of Prime Order Patterns Using EEG Signals.

Aydemir, Emrah; Dogan, Sengul; Baygin, Mehmet; Ooi, Chui Ping; Barua, Prabal Datta; Tuncer, Turker; Acharya, U Rajendra

Aydemir, Emrah; Dogan, Sengul; Baygin, Mehmet; Ooi, Chui Ping; Barua, Prabal Datta; Tuncer, Turker; Acharya, U Rajendra.

Afiliación

Aydemir E; Department of Management Information Systems, Management Faculty, Sakarya University, Sakarya 54050, Turkey.
Dogan S; Department of Digital Forensics Engineering, College of Technology, Firat University, Elazig 23119, Turkey.
Baygin M; Department of Computer Engineering, College of Engineering, Ardahan University, Ardahan 75000, Turkey.
Ooi CP; School of Science and Technology, Singapore University of Social Sciences, Singapore 599494, Singapore.
Barua PD; School of Business (Information System), University of Southern Queensland, Toowoomba, QLD 4350, Australia.
Tuncer T; Faculty of Engineering and Information Technology, University of Technology Sydney, Sydney, NSW 2007, Australia.
Acharya UR; Department of Digital Forensics Engineering, College of Technology, Firat University, Elazig 23119, Turkey.

Healthcare (Basel) ; 10(4)2022 Mar 29.

Article en En | MEDLINE | ID: mdl-35455821

Palabras clave

EEG classification; NCA; cyclic group of prime order pattern; kNN; machine learning; schizophrenia detection

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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Tipo de estudio: Diagnostic_studies / Prognostic_studies Idioma: En Revista: Healthcare (Basel) Año: 2022 Tipo del documento: Article País de afiliación: Turquía Pais de publicación: Suiza

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