Evaluation of GDx parameters by using information theory

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dc.contributor.authorArslan, Umut
dc.contributor.authorBozkurt, Banu
dc.contributor.authorKaraagaoglu, Ahmet Ergun
dc.contributor.authorIrkec, Murat Tanju
dc.date.accessioned2020-03-26T18:14:33Z
dc.date.available2020-03-26T18:14:33Z
dc.date.issued2011
dc.departmentSelçuk Üniversitesien_US
dc.description.abstractAim: To evaluate the performance of GDx parameters in the diagnosis of glaucoma by using information theory and compare the results obtained using receiver operating characteristic (ROC) curve analysis, which is a traditional method. Materials and methods: Retinal nerve fiber layer thickness was measured in 270 eyes with glaucoma and 81 normal eyes with scanning laser polarimeter (NFA GDx version, 1.0.08), and 14 GDx parameters were calculated. Both ROC curve analysis and information theory were used to determine the best GDx parameters. The best cut-off points of these parameters were obtained using information theory for glaucoma prevalence (Pr) of 1%, 2%, and 5%. Results: The parameters having the maximum information content and discriminatory power are The Number, Ellipse modulation, and Maximum modulation, respectively. The best cut-off points associated with these parameters are 32.08, 1.65, and 1.20 for specified Pr values considered, respectively. The best cut-off value for inferior ratio is 1.95 when Pr is 1% or 2%, whereas the best cut-off point of the parameter is 2.11 when Pr is 5%. Conclusion: Although ROC curve analysis can be used for evaluating the performance of the diagnostic test, it cannot determine the best cut-off point for certain prevalence. Information theory approach seems to be more superior to the traditional ROC curve analysis for tackling this problem.en_US
dc.identifier.doi10.3906/sag-0909-284en_US
dc.identifier.endpage124en_US
dc.identifier.issn1300-0144en_US
dc.identifier.issn1303-6165en_US
dc.identifier.issue1en_US
dc.identifier.scopusqualityQ3en_US
dc.identifier.startpage117en_US
dc.identifier.urihttps://dx.doi.org/10.3906/sag-0909-284
dc.identifier.urihttps://hdl.handle.net/20.500.12395/26461
dc.identifier.volume41en_US
dc.identifier.wosWOS:000288413100016en_US
dc.identifier.wosqualityQ4en_US
dc.indekslendigikaynakWeb of Scienceen_US
dc.indekslendigikaynakScopusen_US
dc.indekslendigikaynakTR-Dizinen_US
dc.language.isoenen_US
dc.publisherTUBITAK SCIENTIFIC & TECHNICAL RESEARCH COUNCIL TURKEYen_US
dc.relation.ispartofTURKISH JOURNAL OF MEDICAL SCIENCESen_US
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/closedAccessen_US
dc.selcuk20240510_oaigen_US
dc.subjectDiagnostic testen_US
dc.subjectglaucomaen_US
dc.subjectinformation theoryen_US
dc.subjectROC curveen_US
dc.titleEvaluation of GDx parameters by using information theoryen_US
dc.typeArticleen_US

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