Literature DB >> 28439175

Foreword: Big Data and Its Application in Health Disparities Research.

Eberechukwu Onukwugha1, O Kenrik Duru2, Emmanuel Peprah3.   

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

Mesh:

Year:  2017        PMID: 28439175      PMCID: PMC5398179          DOI: 10.18865/ed.27.2.69

Source DB:  PubMed          Journal:  Ethn Dis        ISSN: 1049-510X            Impact factor:   1.847


  2 in total

Review 1.  Implications of pleiotropy: challenges and opportunities for mining Big Data in biomedicine.

Authors:  Can Yang; Cong Li; Qian Wang; Dongjun Chung; Hongyu Zhao
Journal:  Front Genet       Date:  2015-06-30       Impact factor: 4.599

2.  High performance computing enabling exhaustive analysis of higher order single nucleotide polymorphism interaction in Genome Wide Association Studies.

Authors:  Benjamin Goudey; Mani Abedini; John L Hopper; Michael Inouye; Enes Makalic; Daniel F Schmidt; John Wagner; Zeyu Zhou; Justin Zobel; Matthias Reumann
Journal:  Health Inf Sci Syst       Date:  2015-02-24
  2 in total
  1 in total

1.  Big Data in Context: Addressing the Twin Perils of Data Absenteeism and Chauvinism in the Context of Health Disparities Research.

Authors:  Edmund W J Lee; Kasisomayajula Viswanath
Journal:  J Med Internet Res       Date:  2020-01-07       Impact factor: 5.428

  1 in total

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