Development and Validation of a Machine Learning Algorithm for Predicting Diabetes Retinopathy in Patients With Type 2 Diabetes: Algorithm Development Study
This approach shows the potential to enhance patient outcomes by enabling timely interventions in patients with T2DM, improving our understanding of contributing factors, and reducing DR-related complications. The proposed prediction model is expected to be both competitive and cost-effective, particularly for primary care settings in South Korea.
Authors
- Jaeyu Park (ORCID: https://orcid.org/0009-0005-2009-386X)
- Sang Youl Rhee (ORCID: https://orcid.org/0000-0003-0119-5818)
- Hayeon Lee (ORCID: https://orcid.org/0009-0000-2403-6241)
- Selin Woo (ORCID: https://orcid.org/0000-0001-7961-2074)
- Dong Keon Yon (ORCID: https://orcid.org/0000-0003-1628-9948)
- Yejun Son (ORCID: https://orcid.org/0009-0001-3939-2983)
- Hyunji Sang (ORCID: https://orcid.org/0000-0003-2557-5911)
- Hojae Lee (ORCID: https://orcid.org/0009-0002-1737-2540)
- Myeongcheol Lee (ORCID: https://orcid.org/0009-0006-7185-9471)
- Sun Young Kim (ORCID: https://orcid.org/0000-0003-4115-4455)
Institutions
- Kyung Hee University (KR)
- Kyung Hee University Medical Center (KR)
Publication Details
- Journal
- JMIR Medical Informatics
- Published
- 2025-02-07
- DOI
- https://doi.org/10.2196/58107
- Citations
- 5
- Primary Topic
- Retinal Imaging and Analysis
- Type
- article
- Field-Weighted Citation Impact
- 6.80