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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Detalles Bibliográficos
Autores principales: Yuki, Kenya, Asaoka, Ryo, Awano-Tanabe, Sachiko, Ono, Takeshi, Shiba, Daisuke, Murata, Hiroshi, Tsubota, Kazuo
Formato: Online Artículo Texto
Lenguaje:English
Publicado: The Association for Research in Vision and Ophthalmology 2017
Materias:
Articles
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5464675/
https://www.ncbi.nlm.nih.gov/pubmed/28603662
http://dx.doi.org/10.1167/tvst.6.3.14

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5464675/
https://www.ncbi.nlm.nih.gov/pubmed/28603662
http://dx.doi.org/10.1167/tvst.6.3.14

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