The effect of generalized discriminate analysis (GDA) to the classification of optic nerve disease from VEP signals

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dc.contributor.authorGueven, Ayseguel
dc.contributor.authorPolat, Kemal
dc.contributor.authorKara, Sadik
dc.contributor.authorGuenes, Salih
dc.date.accessioned2020-03-26T17:28:02Z
dc.date.available2020-03-26T17:28:02Z
dc.date.issued2008
dc.departmentSelçuk Üniversitesien_US
dc.description.abstractIn this paper, we have investigated the effect of generalized discriminate analysis (GDA) on classification performance of optic nerve disease from visual evoke potentials (VEPs) signals. The GDA method has been used as a pre-processing step prior to the classification process of optic nerve disease. The proposed method consists of two parts. First, GDA has been used as pre-processing to increase the distinguishing of optic nerve disease from VEP signals. Second, we have used the C4.5 decision tree classifier, Levenberg Marquart (LM) back propagation algorithm, artificial immune recognition system (AIRS), linear discriminant analysis (LDA), and support vector machine (SVM) classifiers. Without GDA, we have obtained 84.37%, 93.75%, 75%, 76.56%, and 53.125% classification accuracies using C4.5 decision tree classifier, LM back propagation algorithm, AIRS, LDA, and SVM algorithms, respectively. With GDA, 93.75%, 93.86%, 81.25%, 93.75%, and 93.75% classification accuracies have been obtained using the above algorithms, respectively. These results show that the GDA pre-processing method has produced very promising results in diagnosis of optic nerve disease from VEP signals. (C) 2007 Elsevier Ltd. All rights reserved.en_US
dc.identifier.doi10.1016/j.compbiomed.2007.07.002en_US
dc.identifier.endpage68en_US
dc.identifier.issn0010-4825en_US
dc.identifier.issn1879-0534en_US
dc.identifier.issue1en_US
dc.identifier.pmid17709102en_US
dc.identifier.scopusqualityQ1en_US
dc.identifier.startpage62en_US
dc.identifier.urihttps://dx.doi.org/10.1016/j.compbiomed.2007.07.002
dc.identifier.urihttps://hdl.handle.net/20.500.12395/22701
dc.identifier.volume38en_US
dc.identifier.wosWOS:000252918000007en_US
dc.identifier.wosqualityQ2en_US
dc.indekslendigikaynakWeb of Scienceen_US
dc.indekslendigikaynakScopusen_US
dc.indekslendigikaynakPubMeden_US
dc.language.isoenen_US
dc.publisherPERGAMON-ELSEVIER SCIENCE LTDen_US
dc.relation.ispartofCOMPUTERS IN BIOLOGY AND MEDICINEen_US
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/closedAccessen_US
dc.selcuk20240510_oaigen_US
dc.subjectVEP signalsen_US
dc.subjectGeneralized discriminate analysis (GDA)en_US
dc.subjectC4.5 decision tree classifieren_US
dc.subjectLevenberg Marquart (LM) back propagationen_US
dc.subjectartificial immune recognition systemen_US
dc.subjectlinear discriminant analysis (LDA)en_US
dc.subjectsupport vector machine (SVM)en_US
dc.subjectoptic nerve diseaseen_US
dc.titleThe effect of generalized discriminate analysis (GDA) to the classification of optic nerve disease from VEP signalsen_US
dc.typeArticleen_US

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