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    Big data and ophthalmic research

    Access Status
    Fulltext not available
    Authors
    Clark, Antony
    Ng, J.
    Morlet, N.
    Semmens, James
    Date
    2015
    Type
    Journal Article
    
    Metadata
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    Citation
    Clark, A. and Ng, J. and Morlet, N. and Semmens, J. 2016. Big data and ophthalmic research. Survey of Ophthalmology. 61 (4): pp. 443-465.
    Source Title
    Survey of Ophthalmology
    DOI
    10.1016/j.survophthal.2016.01.003
    ISSN
    0039-6257
    School
    Centre for Population Health Research
    URI
    http://hdl.handle.net/20.500.11937/26575
    Collection
    • Curtin Research Publications
    Abstract

    Large population-based health administrative databases, clinical registries, and data linkage systems are a rapidly expanding resource for health research. Ophthalmic research has benefited from the use of these databases in expanding the breadth of knowledge in areas such as disease surveillance, disease etiology, health services utilization, and health outcomes. Furthermore, the quantity of data available for research has increased exponentially in recent times, particularly as e-health initiatives come online in health systems across the globe. We review some big data concepts, the databases and data linkage systems used in eye research-including their advantages and limitations, the types of studies previously undertaken, and the future direction for big data in eye research.

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