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Machine Learning Applied to Optometry Data

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Advances in Biomedical Informatics

Part of the book series: Intelligent Systems Reference Library ((ISRL,volume 137))

Abstract

Optometry is the primary health care of the eye and visual system. It involves detecting defects in vision, signs of injury, ocular diseases as well as problems with general health that produce side effects in the eyes. Myopia, presbyopia, glaucoma or diabetic retinopathy are some examples of conditions that optometrists usually diagnose and treat. Moreover, there is another condition that we have all experienced once in a while, especially if we work with computers or have been exposed to smoke or wind. Dry eye syndrome (DES) is a hidden multifactorial disease related with the quality and quantity of tears. It causes discomfort and could lead to severe visual problems. In this chapter, we explain how machine learning techniques can be applied in some DES medical tests in order to produce an objective, repeatable and automatic diagnosis. The results of our experiments show that the proposed methodologies behave like the experts so that they can be applied in the daily practice.

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Notes

  1. 1.

    Autoimmune disorder that affects the glands that secrete fluids.

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Acknowledgements

This work has been partially funded by the Ministerio de Economía y Competitividad of Spain (project DPI2015-69948-R). Beatriz Remeseiro acknowledges the support of the Ministerio de Economía y Competitividad of the Spanish Government under Juan de la Cierva Program (ref. FJCI-2014-21194).

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Authors and Affiliations

  1. Departament de Matemàtiques i Informàtica, Universitat de Barcelona, Gran Via de les Corts Catalanes 585, 08007, Barcelona, Spain

    Beatriz Remeseiro

  2. Departamento de Computación, Universidade da Coruña, Campus de Elviña S/N, 15071, A Coruña, Spain

    Noelia Barreira, Luisa Sánchez-Brea & Lucía Ramos

  3. Departamento de Electrónica y Computación, Universidade de Santiago de Compostela, Campus Universitario Sur, 15782, Santiago de Compostela, Spain

    Antonio Mosquera

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  1. Beatriz Remeseiro
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  2. Noelia Barreira
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  3. Luisa Sánchez-Brea
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  4. Lucía Ramos
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  5. Antonio Mosquera
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Correspondence to Beatriz Remeseiro .

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Editors and Affiliations

  1. Dept. of Statistics & Applied Probabilit, University of California Santa Barbara, Santa Barbara, California, USA

    Dawn E. Holmes

  2. KES International , Adelaide, South Australia, Australia

    Lakhmi C. Jain

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Remeseiro, B., Barreira, N., Sánchez-Brea, L., Ramos, L., Mosquera, A. (2018). Machine Learning Applied to Optometry Data. In: Holmes, D., Jain, L. (eds) Advances in Biomedical Informatics. Intelligent Systems Reference Library, vol 137. Springer, Cham. https://doi.org/10.1007/978-3-319-67513-8_7

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