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Predicting Glaucomatous Progression in Glaucoma Suspect Eyes Using Relevance Vector Machine Classifiers for Combined Structural and Functional Measurements

PURPOSE. The goal of this study was to determine if glaucomatous progression in suspect eyes can be predicted from baseline confocal scanning laser ophthalmoscope (CSLO) and standard automated perimetry (SAP) measurements analyzed with relevance vector machine (RVM) classifiers. METHODS. Two hundred...

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Bibliografski detalji
Glavni autori: Bowd, Christopher, Lee, Intae, Goldbaum, Michael H., Balasubramanian, Madhusudhanan, Medeiros, Felipe A., Zangwill, Linda M., Girkin, Christopher A., Liebmann, Jeffrey M., Weinreb, Robert N.
Format: Artigo
Jezik:Inglês
Izdano: The Association for Research in Vision and Ophthalmology 2012
Teme:
Online pristup:https://ncbi.nlm.nih.gov/pmc/articles/PMC3760232/
https://ncbi.nlm.nih.gov/pubmed/22427577
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1167/iovs.11-7951
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