Evaluation of Sociomedical Factors on Corneal Donor Recovery Using Machine Learning

In a large cohort of corneal donor eyes, hypertension was identified as the most common contributor to machine learning models examining sociomedical conditions for corneal donor transplant suitability and endothelial cell density.

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Publication Details

Journal
Ophthalmic Epidemiology
Published
2024-09-17
DOI
https://doi.org/10.1080/09286586.2024.2399350
Primary Topic
Retinal Imaging and Analysis
Type
article
Field-Weighted Citation Impact
0.00

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article

Evaluation of Sociomedical Factors on Corneal Donor Recovery Using Machine Learning

Saleha Z. Munir, Wuqaas M. Munir
Ophthalmic Epidemiology
Retinal Imaging and Analysis
article

Evaluation of Sociomedical Factors on Corneal Donor Recovery Using Machine Learning

Saleha Z. Munir, Wuqaas M. Munir
article en

Abstract

In a large cohort of corneal donor eyes, hypertension was identified as the most common contributor to machine learning models examining sociomedical conditions for corneal donor transplant suitability and endothelial cell density.

Ophthalmic EpidemiologyVol. 32(4)
University of Maryland, Baltimore (US)
Eye Bank Association of America
Openalex Percentile: Top 74%
Retinal Imaging and Analysis
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Evaluation of Sociomedical Factors on Corneal Donor Recovery Using Machine Learning — Saleha Z. Munir, Wuqaas M. Munir · Ophthalmic Epidemiology (2024) | TGRS Research Map | TGRS