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Exploring functional clinical attributes for macular dystrophy detection

Published: 12 April 2018 Publication History

Abstract

Macular Dystrophy is a rare, genetic eye disorder, which affects the retina. For example, Stargardt Disease (STGD) is a juvenile form of retina dystrophy that can result in loss of central vision, adversely affecting patients' daily activities. Often to catch the onset of eye diseases, such as STGD, or to track the disease progression, patients can do eye test evaluations at home via smartphone/tablet application. It would be extremely useful for people prone to eye diseases if the test evaluations came with an application such that it acted as an automatic home prediction system to alert users of a developing eye condition.
Hence, in this paper, we explore the discriminatory power of five medical attributes that are used to study eye diseases, which are similar to STGD. Using these attributes, we want to examine how to differentiate between eyes that are affected with STGD (diseased) and those that are not. Our main aim is to find the attribute set that is most suitable for the automatic home prediction system. Experiments are also done to identify a suitable classification method for the application. The results we found are interesting and promising.

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  1. Exploring functional clinical attributes for macular dystrophy detection

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        cover image ACM Other conferences
        IWISC '18: Proceedings of the 3rd International Workshop on Interactive and Spatial Computing
        April 2018
        118 pages
        ISBN:9781450354394
        DOI:10.1145/3191801
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        Association for Computing Machinery

        New York, NY, United States

        Publication History

        Published: 12 April 2018

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        Author Tags

        1. STGD
        2. contour integration perimetry
        3. contrast detection threshold
        4. visual acuity

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