Work

Predictive Models for Diabetic Retinopathy from Non-Image Teleretinal Screening Data.

Year: 2019

Type: article

Abstract: Successfully detecting retinopathy from diabetic patients' routinely collected clinical data could help clinicians in medically underserved areas identify unscreened diabetic patients who are at risk of developing retinopathy. This work is a step towards that goal.

Source: PubMed

Authors: Omolola I Ogunyemi, Meghal Gandhi, Chandler Tayek

Institutions: Charles R. Drew University of Medicine and Science, University of Massachusetts Amherst

Language: English

Topic: Retinal Imaging and Analysis

Subfield: Radiology, Nuclear Medicine and Imaging

Field: Medicine

Domain: Health Sciences

SDG: Good health and well-being

Open Access status: green

Funder: U.S. National Library of Medicine

Award: Predicting Diabetic Retinopathy from Risk Factor Data and Digital Retinal Images