Toward a Literature-Driven Definition of Big Data in Healthcare
Joint Authors
Baro, Emilie
Degoul, Samuel
Beuscart, Régis
Chazard, Emmanuel
Source
Issue
Vol. 2015, Issue 2015 (31 Dec. 2015), pp.1-9, 9 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2015-06-02
Country of Publication
Egypt
No. of Pages
9
Main Subjects
Abstract EN
Objective.
The aim of this study was to provide a definition of big data in healthcare.
Methods.
A systematic search of PubMed literature published until May 9, 2014, was conducted.
We noted the number of statistical individuals ( n ) and the number of variables ( p ) for all papers describing a dataset.
These papers were classified into fields of study.
Characteristics attributed to big data by authors were also considered.
Based on this analysis, a definition of big data was proposed.
Results.
A total of 196 papers were included.
Big data can be defined as datasets with Log ( n * p ) ≥ 7 .
Properties of big data are its great variety and high velocity.
Big data raises challenges on veracity, on all aspects of the workflow, on extracting meaningful information, and on sharing information.
Big data requires new computational methods that optimize data management.
Related concepts are data reuse, false knowledge discovery, and privacy issues.
Conclusion.
Big data is defined by volume.
Big data should not be confused with data reuse: data can be big without being reused for another purpose, for example, in omics.
Inversely, data can be reused without being necessarily big, for example, secondary use of Electronic Medical Records (EMR) data.
American Psychological Association (APA)
Baro, Emilie& Degoul, Samuel& Beuscart, Régis& Chazard, Emmanuel. 2015. Toward a Literature-Driven Definition of Big Data in Healthcare. BioMed Research International،Vol. 2015, no. 2015, pp.1-9.
https://search.emarefa.net/detail/BIM-1056236
Modern Language Association (MLA)
Baro, Emilie…[et al.]. Toward a Literature-Driven Definition of Big Data in Healthcare. BioMed Research International No. 2015 (2015), pp.1-9.
https://search.emarefa.net/detail/BIM-1056236
American Medical Association (AMA)
Baro, Emilie& Degoul, Samuel& Beuscart, Régis& Chazard, Emmanuel. Toward a Literature-Driven Definition of Big Data in Healthcare. BioMed Research International. 2015. Vol. 2015, no. 2015, pp.1-9.
https://search.emarefa.net/detail/BIM-1056236
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1056236