Machine Learning Models for Predicting Cycloplegic Refractive Error and Myopia Status Based on Non-Cycloplegic Data in Chinese Students
Using ML to predict cycloplegic refraction based on noncycloplegic data is a powerful tool for large, population-based studies of refractive error.
Authors
- Hongguang Cui (ORCID: https://orcid.org/0000-0001-7311-0188)
- Julius T. Oatts
- Rajat S. Chandra (ORCID: https://orcid.org/0009-0004-5402-8452)
- Bole Ying
- Jianyong Wang
Institutions
- University of California, San Francisco (US)
- Zhejiang University (CN)
- University of Pennsylvania (US)
Publication Details
- Journal
- Translational Vision Science & Technology
- Published
- 2024-08-09
- DOI
- https://doi.org/10.1167/tvst.13.8.16
- Citations
- 11
- Primary Topic
- Ophthalmology and Visual Impairment Studies
- Type
- article
- Field-Weighted Citation Impact
- 4.25
Funders
- National Eye Institute