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A new approach based on Machine Learning for predicting corneal curvature (K1) and astigmatism in patients with keratoconus after intracorneal ring implantation

Highlights • Optimization of corneal ring implantation using Machine Learning techniques. • Prediction of astigmatism and corneal curvature improvement in patients with keratoconus after ring implantation by means Machine Learning techniques. • Finding out the most relevant features for a successful...

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Bibliographic Details
Published in:Computer methods and programs in biomedicine 2014-08, Vol.116 (1), p.39-47
Main Authors: Valdés-Mas, M.A, Martín-Guerrero, J.D, Rupérez, M.J, Pastor, F, Dualde, C, Monserrat, C, Peris-Martínez, C
Format: Article
Language:English
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Summary:Highlights • Optimization of corneal ring implantation using Machine Learning techniques. • Prediction of astigmatism and corneal curvature improvement in patients with keratoconus after ring implantation by means Machine Learning techniques. • Finding out the most relevant features for a successful ring implantation.
ISSN:0169-2607
1872-7565
DOI:10.1016/j.cmpb.2014.04.003