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Prediction of Subjective Refraction From Anterior Corneal Surface, Eye Lengths, and Age Using Machine Learning Algorithms
PURPOSE: To develop a machine learning regression model of subjective refractive prescription from minimum ocular biometry and corneal topography features. METHODS: Anterior corneal surface parameters (Zernike coefficients and keratometry), axial length, anterior chamber depth, and age were posed as...
| Autores principales: | , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
The Association for Research in Vision and Ophthalmology
2022
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9034724/ https://www.ncbi.nlm.nih.gov/pubmed/35404439 http://dx.doi.org/10.1167/tvst.11.4.8 |