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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
Author(s) -
Kenya Yuki,
Ryo Asaoka,
Sachiko Awano-Tanabe,
Takeshi Ono,
Daisuke Shiba,
Hiroshi Murata,
Kazuo Tsubota
Publication year - 2017
Publication title -
translational vision science and technology
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.508
H-Index - 21
ISSN - 2164-2591
DOI - 10.1167/tvst.6.3.14
Subject(s) - visual field , logistic regression , glaucoma , medicine , odds ratio , open angle glaucoma , ophthalmology , support vector machine , optometry , physical medicine and rehabilitation , audiology , artificial intelligence , computer science
Careful consideration is needed when predicting future MVCs in POAG patients using visual function, and without driving attitude and MVC history.

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