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Editorial
. 2017 Apr 20;27(2):69-72.
doi: 10.18865/ed.27.2.69. eCollection 2017 Spring.

Foreword: Big Data and Its Application in Health Disparities Research

Eberechukwu Onukwugha  1 , O Kenrik Duru  2 , Emmanuel Peprah  3
Affiliations
Editorial

Foreword: Big Data and Its Application in Health Disparities Research

Eberechukwu Onukwugha et al. Ethn Dis. .

Abstract

The articles presented in this special issue advance the conversation by describing the current efforts, findings and concerns related to Big Data and health disparities. They offer important recommendations and perspectives to consider when designing systems that can usefully leverage Big Data to reduce health disparities. We hope that ongoing Big Data efforts can build on these contributions to advance the conversation, address our embedded assumptions, and identify levers for action to reduce health care disparities.

Keywords: Big Data; Health Disparities.

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Conflict of interest statement

Competing Interests: None declared.

References

    1. United States Census Tabulation and Processing. https://www.census.gov/history/www/innovations/technology/tabulation_and...Accessed February 14, 2017.
    1. da Cruz F. Columbia University Computing History. http://www.columbia.edu/cu/computinghistory/hollerith.html Accessed February 14, 2017.
    1. Williams NB. The rise of Big Data: Trends and opportunity for the lab. Clinical Laboratory News. March 2014. https://www.aacc.org/publications/cln/articles/2014/march/big-dataAccessed February 20, 2017.
    1. Goudey B, Abedini M, Hopper JL, et al. . High performance computing enabling exhaustive analysis of higher order single nucleotide polymorphism interaction in Genome Wide Association Studies. Health Inf Sci Syst, 2015. 3(Suppl 1 HISA Big Data in Biomedicine and Healthcare 2013 Con): S1-S3. . 10.1186/2047-2501-3-S1-S3 - DOI - PMC - PubMed
    1. Yang C, Li C, Wang Q, Chung D, Zhao H.. Implications of pleiotropy: challenges and opportunities for mining Big Data in biomedicine. Frontiers in Genetics. 2015 Jun 30;6:229. doi: 10.3389/fgene.2015.00229 eCollection 2015. - DOI - PMC - PubMed

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