A novel method for automated diagnosis of epilepsy using complex-valued classifiers

IEEE Journal of Biomedical and Health Informatics

Volumn 20, Issue 1, 2016, Pages 108-118

  Peker, Musa ^a   Sen, Baha ^b   Delen, Dursun ^c  

^a Samandira Sancaktepe Vocational and Technical High School ^*  (Turkey)

^b YILDIRIM BEYAZIT UNIVERSITY   (Turkey)

^c OKLAHOMA STATE UNIVERSITY   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

COMPUTER AIDED DIAGNOSIS; ELECTROENCEPHALOGRAPHY; ELECTROPHYSIOLOGY; METADATA; NEUROLOGY; TREES (MATHEMATICS);

AUTOMATED DIAGNOSIS; CLASSIFICATION ACCURACY; CLASSIFICATION SYSTEM; COMPLEX-VALUED NEURAL NETWORKS; DUAL-TREE COMPLEX WAVELETS; INPUT DIMENSIONS; K FOLD CROSS VALIDATIONS; STANDARD DEVIATION;

COMPLEX NETWORKS;

ALGORITHM; ARTIFICIAL NEURAL NETWORK; ELECTROENCEPHALOGRAPHY; EPILEPSY; HUMAN; PROCEDURES; SENSITIVITY AND SPECIFICITY; WAVELET ANALYSIS;

ALGORITHMS; ELECTROENCEPHALOGRAPHY; EPILEPSY; HUMANS; NEURAL NETWORKS (COMPUTER); SENSITIVITY AND SPECIFICITY; WAVELET ANALYSIS;

EID: 84971371361     PISSN: 21682194     EISSN: 21682208     Source Type: Journal    
DOI: 10.1109/JBHI.2014.2387795     Document Type: Article

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