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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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Published in: | Computer methods and programs in biomedicine 2014-08, Vol.116 (1), p.39-47 |
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Main Authors: | , , , , , , |
Format: | Article |
Language: | English |
Subjects: | |
Citations: | Items that this one cites Items that cite this one |
Online Access: | Get full text |
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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. |
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ISSN: | 0169-2607 1872-7565 |
DOI: | 10.1016/j.cmpb.2014.04.003 |