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Combining functional and structural tests improves the diagnostic accuracy of relevance vector machine classifiers

PURPOSE: To investigate whether combining optic disc topography and short-wavelength automated perimetry (SWAP) data improves the diagnostic accuracy of relevance vector machine (RVM) classifiers for detecting glaucomatous eyes compared to using each test alone. METHODS: One eye of 144 glaucoma pati...

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Bibliografski detalji
Glavni autori: Racette, Lyne, Chiou, Christine Y., Hao, Jiucang, Bowd, Christopher, Goldbaum, Michael H., Zangwill, Linda M., Lee, Te-Won, Weinreb, Robert N., Sample, Pamela A.
Format: Artigo
Jezik:Inglês
Izdano: 2010
Teme:
Online pristup:https://ncbi.nlm.nih.gov/pmc/articles/PMC2891254/
https://ncbi.nlm.nih.gov/pubmed/19528827
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1097/IJG.0b013e3181a98b85
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