Prediction of Subjective Refraction From Anterior Corneal Surface, Eye Lengths, and Age Using Machine Learning Algorithms

To develop a machine learning regression model of subjective refractive prescription from minimum ocular biometry and corneal topography features. Anterior corneal surface parameters (Zernike coefficients and keratometry), axial length, anterior chamber depth, and age were posed as features to predi...

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Bibliographic Details

Published in:	Translational vision science & technology Vol. 11; no. 4; p. 8
Main Authors:	Espinosa, Julián, Pérez, Jorge, Villanueva, Asier
Format:	Journal Article
Language:	English
Published:	United States The Association for Research in Vision and Ophthalmology 01.04.2022
Subjects:	Machine Learning
ISSN:	2164-2591, 2164-2591
Online Access:	Get full text
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