Prediction of Post-Treatment Visual Acuity in Age-Related Macular Degeneration Patients With an Interpretable Machine Learning Method-Reference-Cited by-同舟云学术

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Prediction of Post-Treatment Visual Acuity in Age-Related Macular Degeneration Patients With an Interpretable Machine Learning Method

Published:2024-09-03 Issue:9 Volume:13 Page:3
ISSN:2164-2591
Container-title:Translational Vision Science & Technology
language:en
Short-container-title:Trans. Vis. Sci. Tech.

Author:

Kim Najung¹,Lee Minsub¹,Chung Hyewon¹,Kim Hyung Chan²,Lee Hyungwoo¹

Affiliation:

1. Department of Ophthalmology, Konkuk University School of Medicine, Konkuk University Medical Center, Seoul, Republic of Korea

2. Kong Eye Hospital, Seoul, Republic of Korea

Publisher

Association for Research in Vision and Ophthalmology (ARVO)

Reference38 articles.

1. Morphologic parameters relevant for visual outcome during anti-angiogenic therapy of neovascular age-related macular degeneration;Simader;Ophthalmology,2014

2. Indocyanine-green angiography;Slakter;Curr Opin Ophthalmol,1995

3. Retinal precursors and the development of geographic atrophy in age-related macular degeneration;Klein;Ophthalmology,2008

4. Prognostic optical coherence tomography biomarkers in neovascular age-related macular degeneration;Nawash;J Clin Med,2023

5. Neovascular Age-related macular degeneration: a visual acuity model of natural disease progression and ranibizumab treatment effect;Mulyukov;CPT Pharmacomet Syst,2018

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