Applications of the MapReduce programming framework to clinical big data analysis: current landscape and future trends

The emergence of massive datasets in a clinical setting presents both challenges and opportunities in data storage and analysis. This so called “big data” challenges traditional analytic tools and will increasingly require novel solutions adapted from other fields. Advances in information and commun...

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Bibliographic Details
Published in:	BioData mining Vol. 7; no. 1; p. 22
Main Authors:	Mohammed, Emad A, Far, Behrouz H, Naugler, Christopher
Format:	Journal Article
Language:	English
Published:	London BioMed Central 29.10.2014 Springer Nature B.V
Subjects:	Algorithms Bioinformatics Biomedical and Life Sciences Cloning Clusters Computation Computational Biology/Bioinformatics Computer Appl. in Life Sciences Data Mining and Knowledge Discovery Data processing Data storage Fault tolerance Life Sciences Mathematical analysis Mathematical models Medical Programming Review Clinical data analysis Distributed programming Clinical big data analysis Hadoop Big data Bioinformatics MapReduce
ISSN:	1756-0381, 1756-0381
Online Access:	Get full text
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