Improving the Identification of Diabetic Retinopathy and Related Conditions in the Electronic Health Record Using Natural Language Processing Methods-Reference-Cited by-同舟云学术

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Improving the Identification of Diabetic Retinopathy and Related Conditions in the Electronic Health Record Using Natural Language Processing Methods

Published:2024-11 Issue:6 Volume:4 Page:100578
ISSN:2666-9145
Container-title:Ophthalmology Science
language:en
Short-container-title:Ophthalmology Science

Author:

Harrigian Keith,Tran Diep,Tang Tina,Gonzales Anthony,Nagy Paul,Kharrazi Hadi,Dredze Mark,Cai Cindy X.^ORCID

Funder

Research to Prevent Blindness

National Eye Institute

Publisher

Elsevier BV

Reference35 articles.

1. Vision disorders in diabetes. Diabetes in America;Klein,1995

2. Projection of diabetic retinopathy and other major eye diseases among people with diabetes mellitus: United States, 2005-2050;Saaddine;Arch Ophthalmol,2008

3. The REporting of studies conducted using observational routinely-collected health data (RECORD) statement;Benchimol;PLoS Med,2015

4. Big data analytics for personalized medicine;Curr Opin Biotechnol,2019

5. Prevalence of diabetic retinopathy in the US in 2021;Lundeen;JAMA Ophthalmol,2023

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