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...
| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
| Published: |
NLM (Medline)
2022
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| Online Access: | View Fulltext in Publisher |