A Novel Classification and Estimation Approach for Detecting Keratoconus Disease with Intelligent Systems

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dc.authoridSEN, BAHA/0000-0003-3577-2548
dc.authoridUCAR, Murat/0000-0001-9997-4267
dc.authoridCAKMAK, HASAN BASRI/0000-0001-6877-8773
dc.contributor.authorUcar, Murat
dc.contributor.authorSen, Baha
dc.contributor.authorCakmak, Hasan Basri
dc.date.accessioned2024-09-29T16:11:16Z
dc.date.available2024-09-29T16:11:16Z
dc.date.issued2013
dc.departmentKarabük Üniversitesien_US
dc.description8th International Conference on Electrical and Electronics Engineering (ELECO) -- NOV 28-30, 2013 -- Bursa, TURKEYen_US
dc.description.abstractKeratoconus is an eye disease characterized by progressive thinning of cornea which is the front based transparent layer of the eye. In other words, it is a progressive distortion of corneal layer and at least getting conical shape that should be like a dome camber. The vision reduces more and more while cornea gets shape of cone which should be like a sphere normally. The aim of this study is to define a new classification method for detecting keratoconus based on statistical analysis and to realize the prediction of these classified data with intelligent systems. 301 eyes of 159 patients and 394 eyes of 265 refractive surgery candidates as the control group have been used for this study. Factor analysis, one of the multivariate statistical techniques, has been mainly used to find more meaningful, easy to understand, and independent factors amongst the others. Later, a new classification method has been defined using clustering analysis techniques on these factors and finally estimated by using artificial neural networks and support vector machines.en_US
dc.description.sponsorshipChamber Elect Engineers Bursa Branch,Istanbul Techn Univ, Fac Elect & Elect Engn,Uludag Univ, Dept Elect & Elect Engn,IEEE, Reg 8,IEEE Turkey Sect, CAS Chapter,Sci & Technol Res Council Turkeyen_US
dc.identifier.endpage525en_US
dc.identifier.isbn978-605-01-0504-9
dc.identifier.startpage521en_US
dc.identifier.urihttps://hdl.handle.net/20.500.14619/8310
dc.identifier.wosWOS:000333752200111en_US
dc.identifier.wosqualityN/Aen_US
dc.indekslendigikaynakWeb of Scienceen_US
dc.language.isoenen_US
dc.publisherIeeeen_US
dc.relation.ispartof2013 8th International Conference On Electrical and Electronics Engineering (Eleco)en_US
dc.relation.publicationcategoryKonferans Öğesi - Uluslararası - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/closedAccessen_US
dc.subjectSupport Vector Machinesen_US
dc.subjectAberrationsen_US
dc.subjectVideokeratographyen_US
dc.titleA Novel Classification and Estimation Approach for Detecting Keratoconus Disease with Intelligent Systemsen_US
dc.typeConference Objecten_US

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