Comparison of Machine Learning Models to a Novel Score in the Identification of Patients at Low Risk for Diabetic Retinopathy-Reference-Cited by-同舟云学术

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Comparison of Machine Learning Models to a Novel Score in the Identification of Patients at Low Risk for Diabetic Retinopathy

Published:2024-08 Issue: Volume: Page:100592
ISSN:2666-9145
Container-title:Ophthalmology Science
language:en
Short-container-title:Ophthalmology Science

Author:

Luong Amanda^ORCID,Cheung Jesse^ORCID,McMurtry Shyla,Nelson Christina^ORCID,Najac Tyler,Ortiz Philippe,Aronoff Stephen^ORCID,Henderer Jeffrey^ORCID,Zhang Yi^ORCID

Publisher

Elsevier BV

Reference21 articles.

1. IDF Diabetes Atlas, 9th Edn. Brussels, Belgium: International Diabetes Federation, 2019.; 2019.

2. Cheung N, Mitchell P, Wong TY. Diabetic retinopathy. www.thelancet.com. 2010;376. doi:10.1016/S0140

3. Diabetic Retinopathy Preferred Practice Pattern;Flaxel;Ophthalmology,2020

4. Increase the proportion of adults with diabetes who have a yearly eye exam - D-04;Healthy People,2023

5. A 15 month experience with a primary care-based telemedicine screening program for diabetic retinopathy;Benjamin;BMC Ophthalmol,2021

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