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Predicting Future Self-Reported Motor Vehicle Collisions in Subjects with Primary Open-Angle Glaucoma Using the Penalized Support Vector Machine Method

PURPOSE: We predict the likelihood of a future motor vehicle collision (MVC) from visual function data, attitudes to driving, and past MVC history using the penalized support vector machine (pSVM) in subjects with primary open-angle glaucoma (POAG). METHODS: Patients with POAG were screened prospect...

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Detalhes bibliográficos
Publicado no:Transl Vis Sci Technol
Main Authors: Yuki, Kenya, Asaoka, Ryo, Awano-Tanabe, Sachiko, Ono, Takeshi, Shiba, Daisuke, Murata, Hiroshi, Tsubota, Kazuo
Formato: Artigo
Idioma:Inglês
Publicado em: The Association for Research in Vision and Ophthalmology 2017
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Acesso em linha:https://ncbi.nlm.nih.gov/pmc/articles/PMC5464675/
https://ncbi.nlm.nih.gov/pubmed/28603662
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1167/tvst.6.3.14
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