Literature DB >> 26844660

Big data and ophthalmic research.

Antony Clark1, Jonathon Q Ng2, Nigel Morlet2, James B Semmens2.   

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.
Copyright © 2016 Elsevier Inc. All rights reserved.

Keywords:  big data; clinical registry; data linkage; health services research; ophthalmic epidemiology

Mesh:

Year:  2016        PMID: 26844660     DOI: 10.1016/j.survophthal.2016.01.003

Source DB:  PubMed          Journal:  Surv Ophthalmol        ISSN: 0039-6257            Impact factor:   6.048


  7 in total

1.  Epidemiology of postoperative visual loss for non-ocular surgery in a cohort of inpatients.

Authors:  John C Lin; Dustin D French; Curtis E Margo; Paul B Greenberg
Journal:  Eye (Lond)       Date:  2021-11-19       Impact factor: 4.456

2.  A Bibliometric and Mapping Analysis of Glaucoma Research between 1900 and 2019.

Authors:  Francisco López-Muñoz; Robert N Weinreb; Sasan Moghimi; F Javier Povedano-Montero
Journal:  Ophthalmol Glaucoma       Date:  2021-05-31

Review 3.  Big Data's Role in Precision Public Health.

Authors:  Shawn Dolley
Journal:  Front Public Health       Date:  2018-03-07

4.  Predicting Future Elective Colon Resection for Diverticulitis Using Patterns of Health Care Utilization.

Authors:  Lucas W Thornblade; David R Flum; Abraham D Flaxman
Journal:  EGEMS (Wash DC)       Date:  2018-01-24

Review 5.  Applications of Artificial Intelligence to Electronic Health Record Data in Ophthalmology.

Authors:  Wei-Chun Lin; Jimmy S Chen; Michael F Chiang; Michelle R Hribar
Journal:  Transl Vis Sci Technol       Date:  2020-02-27       Impact factor: 3.283

Review 6.  [Diagnostics of diseases of the optic nerve head in times of artificial intelligence and big data].

Authors:  R Diener; M Treder; N Eter
Journal:  Ophthalmologe       Date:  2021-04-22       Impact factor: 1.059

7.  Impact of Artificial Intelligence on Medical Education in Ophthalmology.

Authors:  Nita G Valikodath; Emily Cole; Daniel S W Ting; J Peter Campbell; Louis R Pasquale; Michael F Chiang; R V Paul Chan
Journal:  Transl Vis Sci Technol       Date:  2021-06-01       Impact factor: 3.283

  7 in total

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