July 2019
Volume 60, Issue 9
Open Access
ARVO Annual Meeting Abstract  |   July 2019
Big Data Sets: Leveraging existing data sources for Big Data analyses in ophthalmology
Author Affiliations & Notes
  • Joshua D Stein
    Kellogg Eye Center/Ophthal, University of Michigan, Ann Arbor, Michigan, United States
  • Footnotes
    Commercial Relationships   Joshua Stein, None
  • Footnotes
    Support  None
Investigative Ophthalmology & Visual Science July 2019, Vol.60, 14. doi:
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    • Get Citation

      Joshua D Stein; Big Data Sets: Leveraging existing data sources for Big Data analyses in ophthalmology. Invest. Ophthalmol. Vis. Sci. 2019;60(9):14.

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      © ARVO (1962-2015); The Authors (2016-present)

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Presentation Description : My presentation will provide an overview of some common sources of “Big Data”, including the sorts of clinical information routinely captured in these resources. It will also discuss some of the advantages and potential pitfalls of working with these data sources. Finally, I will provide some examples of analyses that my colleagues and I have performed using “Big Data”.

This abstract was presented at the 2019 ARVO Annual Meeting, held in Vancouver, Canada, April 28 - May 2, 2019.


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