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...

Ausführliche Beschreibung

Gespeichert in:

Bibliographische Detailangaben
Veröffentlicht in:	BioData mining Jg. 7; H. 1; S. 22
Hauptverfasser:	Mohammed, Emad A, Far, Behrouz H, Naugler, Christopher
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	London BioMed Central 29.10.2014 Springer Nature B.V
Schlagworte:	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-Zugang:	Volltext
Tags:	Tag hinzufügen Keine Tags, Fügen Sie den ersten Tag hinzu!

Schreiben Sie den ersten Kommentar!