Big data and ophthalmic research
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, d...
| Main Authors: | , , , |
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| Format: | Journal Article |
| Published: |
2015
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| Online Access: | http://hdl.handle.net/20.500.11937/26575 |
| _version_ | 1848752025782714368 |
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| author | Clark, Antony Ng, J. Morlet, N. Semmens, James |
| author_facet | Clark, Antony Ng, J. Morlet, N. Semmens, James |
| author_sort | Clark, Antony |
| building | Curtin Institutional Repository |
| collection | Online Access |
| description | 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. |
| first_indexed | 2025-11-14T08:02:04Z |
| format | Journal Article |
| id | curtin-20.500.11937-26575 |
| institution | Curtin University Malaysia |
| institution_category | Local University |
| last_indexed | 2025-11-14T08:02:04Z |
| publishDate | 2015 |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | curtin-20.500.11937-265752017-09-13T15:28:26Z Big data and ophthalmic research Clark, Antony Ng, J. Morlet, N. Semmens, James 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. 2015 Journal Article http://hdl.handle.net/20.500.11937/26575 10.1016/j.survophthal.2016.01.003 restricted |
| spellingShingle | Clark, Antony Ng, J. Morlet, N. Semmens, James Big data and ophthalmic research |
| title | Big data and ophthalmic research |
| title_full | Big data and ophthalmic research |
| title_fullStr | Big data and ophthalmic research |
| title_full_unstemmed | Big data and ophthalmic research |
| title_short | Big data and ophthalmic research |
| title_sort | big data and ophthalmic research |
| url | http://hdl.handle.net/20.500.11937/26575 |