Assessing Glaucoma Progression Using Machine Learning Trained on Longitudinal Visual Field and Clinical Data-Reference-Cited by-同舟云学术

Assessing Glaucoma Progression Using Machine Learning Trained on Longitudinal Visual Field and Clinical Data

Published:2021-07 Issue:7 Volume:128 Page:1016-1026
ISSN:0161-6420
Container-title:Ophthalmology
language:en
Short-container-title:Ophthalmology

Author:

Dixit Avyuk,Yohannan Jithin,Boland Michael V.

Funder

Johns Hopkins University

National Institutes of Health

National Eye Institute

Research to Prevent Blindness

Publisher

Elsevier BV

Subject

Ophthalmology

Reference32 articles.

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4. Analysis of progression with GPA (guided progression analysis) and mean deviation (MD) indexes of automated perimetry in ocular hypertension and glaucoma;Giraud;Invest Ophthalmol Vis Sci,2010

5. Rates of glaucomatous visual field change in a large clinical population;Chauhan;Invest Ophthalmol Vis Sci,2014

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