Predicting Visual Disability in Glaucoma With Combinations of Vision Measures
Author(s) -
Stephanie Lin,
Aleksandra Mihailović,
Sheila K. West,
Chris A. Johnson,
David S. Friedman,
Xiangrong Kong,
Pradeep Y. Ramulu
Publication year - 2018
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.7.2.22
Subject(s) - glaucoma , visual acuity , optometry , contrast (vision) , artificial intelligence , rasch model , medicine , ophthalmology , computer science , mathematics , statistics
A sufficient description of disability in glaucoma can be obtained using one to two vision tests, especially VF and CS.
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