Machine Learning-Based Predictive Modeling of Surgical Intervention in Glaucoma Using Systemic Data From Electronic Health Records-Reference-Cited by-同舟云学术

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Machine Learning-Based Predictive Modeling of Surgical Intervention in Glaucoma Using Systemic Data From Electronic Health Records

Published:2019-12 Issue: Volume:208 Page:30-40
ISSN:0002-9394
Container-title:American Journal of Ophthalmology
language:en
Short-container-title:American Journal of Ophthalmology

Author:

Baxter Sally L.,Marks Charles,Kuo Tsung-Ting^ORCID,Ohno-Machado Lucila,Weinreb Robert N.

Funder

National Institutes of Health

NIH

Heed Ophthalmic Foundation

Research to Prevent Blindness

Heidelberg Engineering

Carl Zeiss Meditec

Genentech

Konan

Optovue

Topcon

Optos

Centervue

Bausch and Lomb

Publisher

Elsevier BV

Subject

Ophthalmology

Reference52 articles.

1. Global prevalence of glaucoma and projections of glaucoma burden through 2040: a systematic review and meta-analysis;Tham;Ophthalmology,2014

2. The ocular hypertension treatment study: a randomized trial determines that topical ocular hypotensive medication delays or prevents the onset of primary open-angle glaucoma;Kass;Arch Ophthalmol,2002

3. Reduction of intraocular pressure and glaucoma progression: results from the Early Manifest Glaucoma Trial;Heijl;Arch Ophthalmol,2002

4. Comparison of glaucomatous progression between untreated patients with normal-tension glaucoma and patients with therapeutically reduced intraocular pressures. Collaborative Normal-Tension Glaucoma Study Group;Am J Ophthalmol,1998

5. Relationships among systemic blood pressure, intraocular pressure, and open-angle glaucoma;Deokule;Can J Ophthalmol,2008

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