Prediction of Incident Diabetic Retinopathy in Adults With Type 1 Diabetes Using Machine Learning Approach: An Exploratory Study

Machine learning approaches using CGM data may have potential to aid in identifying adults with T1D at risk of DR.

Authors

Institutions

Publication Details

Journal
Journal of Diabetes Science and Technology
Published
2024-10-28
DOI
https://doi.org/10.1177/19322968241292369
Citations
26
Primary Topic
Diabetes Management and Research
Type
article
Field-Weighted Citation Impact
9.30
Controls
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article

Prediction of Incident Diabetic Retinopathy in Adults With Type 1 Diabetes Using Machine Learning Approach: An Exploratory Study

Eslam Montaser, Viral N. Shah
26 citations
Journal of Diabetes Science and Technology
Diabetes Management and Research
9.30
article

Prediction of Incident Diabetic Retinopathy in Adults With Type 1 Diabetes Using Machine Learning Approach: An Exploratory Study

Eslam Montaser, Viral N. Shah
article en
26 citations

Abstract

Machine learning approaches using CGM data may have potential to aid in identifying adults with T1D at risk of DR.

Journal of Diabetes Science and Technology
Indiana University School of Medicine, Indiana University – Purdue University Indianapolis (US)
Reduced inequalities
Openalex Percentile: Top 2%
Diabetes Management and Research
9.30
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