Identifying Patients at High Risk of Lapses in Diabetic Retinopathy Care: A Machine Learning Study
Proprietary or commercial disclosure may be found in the Footnotes and Disclosures at the end of this article.
Authors
- Scott L. Zeger (ORCID: https://orcid.org/0000-0001-8907-1603)
- Zitong Wang (ORCID: https://orcid.org/0000-0002-2261-9002)
- Paul Nagy (ORCID: https://orcid.org/0000-0001-5108-7749)
- Diep Tran (ORCID: https://orcid.org/0000-0003-2886-6984)
- Gu Zhu (ORCID: https://orcid.org/0000-0002-5691-1917)
- Zuherman Rustam (ORCID: https://orcid.org/0000-0001-7143-9633)
- Deidra C. Crews (ORCID: https://orcid.org/0000-0003-3425-5776)
- Cindy X. Cai (ORCID: https://orcid.org/0000-0003-3752-7239)
- Hadi H.K. Kharrazi (ORCID: https://orcid.org/0000-0003-1481-4323)
- Jie Tian (ORCID: https://orcid.org/0000-0003-0498-0432)
Institutions
- Johns Hopkins University (US)
- Johns Hopkins Medicine (US)
Publication Details
- Journal
- Ophthalmology Science
- Published
- 2025-10-10
- DOI
- https://doi.org/10.1016/j.xops.2025.100967
- Primary Topic
- Retinal Imaging and Analysis
- Type
- article
- Field-Weighted Citation Impact
- 0.00
Funders
- Research to Prevent Blindness
- Regeneron Pharmaceuticals
- National Institutes of Health
- National Eye Institute