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Authors: Alexander Leube 1 ; Christian Leibig 2 ; Arne Ohlendorf 1 and Siegfried Wahl 1

Affiliations: 1 Institute for Ophthalmic Research, Eberhard Karls University, Tübingen, Germany, Carl Zeiss Vision International GmbH, Technology and Innovation and Aalen Germany ; 2 Institute for Ophthalmic Research, Eberhard Karls University, Tübingen, Germany

ISBN: 978-989-758-353-7

Keyword(s): Big Data, Machine Learning, Subjective Refraction.

Abstract: The aim of this research was to demonstrate the suitability of a data-driven approach to identify the subjective refraction. An artificial deep learning network with two hidden layers was trained to predict power vector refraction (M, J0 and J45) from 37 dimensional feature vectors (36 Zernike coefficients + pupil diameter) from a large database of 50,000 eyes. A smaller database of 460 eyes containing subjective and objective refraction from controlled experiment conditions was used to test for prediction power. analysis was performed, calculating the mean difference (eg ΔM) and the 95% confidence interval (CI) between predictions and subjective refraction. Using the machine learning approach, the accuracy (ΔM = +0.08D) and precision (CI for ΔM = ± 0.78D) for the prediction of refractive error corrections was comparable to a conventional metric (ΔM = +0.11D ± 0.89D) as well as the inter-examiner agreement between optometrists (ΔM = -0.05D ± 0.63D). To conclude, the proposed deep le arning network for the prediction of refractive error corrections showed its suitability to reliably predict subjective power vectors of refraction from objective wavefront data. (More)

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Paper citation in several formats:
Leube, A.; Leibig, C.; Ohlendorf, A. and Wahl, S. (2019). Machine Learning based Predictions of Subjective Refractive Errors of the Human Eye.In Proceedings of the 12th International Joint Conference on Biomedical Engineering Systems and Technologies - Volume 5: HEALTHINF, ISBN 978-989-758-353-7, pages 199-205. DOI: 10.5220/0007254401990205

@conference{healthinf19,
author={Alexander Leube. and Christian Leibig. and Arne Ohlendorf. and Siegfried Wahl.},
title={Machine Learning based Predictions of Subjective Refractive Errors of the Human Eye},
booktitle={Proceedings of the 12th International Joint Conference on Biomedical Engineering Systems and Technologies - Volume 5: HEALTHINF,},
year={2019},
pages={199-205},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0007254401990205},
isbn={978-989-758-353-7},
}

TY - CONF

JO - Proceedings of the 12th International Joint Conference on Biomedical Engineering Systems and Technologies - Volume 5: HEALTHINF,
TI - Machine Learning based Predictions of Subjective Refractive Errors of the Human Eye
SN - 978-989-758-353-7
AU - Leube, A.
AU - Leibig, C.
AU - Ohlendorf, A.
AU - Wahl, S.
PY - 2019
SP - 199
EP - 205
DO - 10.5220/0007254401990205

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