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dc.contributor.advisorInza Cano, Iñaki ORCID
dc.contributor.advisorGabilondo Cuellar, Iñigo
dc.contributor.authorReyero Lobo, Paula
dc.date.accessioned2020-06-10T08:58:41Z
dc.date.available2020-06-10T08:58:41Z
dc.date.issued2020-06-09
dc.identifier.urihttp://hdl.handle.net/10810/43895
dc.description.abstractSeveral spectral-domain optical coherence tomography studies (OCT) reported a decrease on the macular region of the retina in Parkinson’s disease. Yet, the implication of retinal thinning with visual disability is still unclear. Macular scans acquired from patients with Parkinson’s disease (n = 100) and a control group (n = 248) were used to train several supervised classification models. The goal was to determine the most relevant retinal layers and regions for diagnosis, for which univari- ate and multivariate filter and wrapper feature selection methods were used. In addition, we evaluated the classification ability of the patient group to assess the applicability of OCT measurements as a biomarker of the disease.es_ES
dc.language.isoenges_ES
dc.rightsinfo:eu-repo/semantics/openAccesses_ES
dc.rights.urihttp://creativecommons.org/licenses/by-nc-sa/3.0/es/*
dc.subjectsupervised classificationes_ES
dc.subjectfeature selectiones_ES
dc.subjectwrapper methodses_ES
dc.subjectoptical coherence tomography studies (OCT)es_ES
dc.subjectParkinson’s diseasees_ES
dc.titleReview of feature selection techniques in Parkinson's disease using OCT-imaging dataes_ES
dc.typeinfo:eu-repo/semantics/masterThesises_ES
dc.rights.holderAtribución-NoComercial-CompartirIgual 3.0 Españaes_ES


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Atribución-NoComercial-CompartirIgual 3.0 España
Except where otherwise noted, this item's license is described as Atribución-NoComercial-CompartirIgual 3.0 España