Big Data Analytics in Healthcare
Joint Authors
Najarian, Kayvan
Belle, Ashwin
Thiagarajan, Raghuram
Soroushmehr, S. M. Reza
Navidi, Fatemeh
Beard, Daniel A.
Source
Issue
Vol. 2015, Issue 2015 (31 Dec. 2015), pp.1-16, 16 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2015-07-02
Country of Publication
Egypt
No. of Pages
16
Main Subjects
Abstract EN
The rapidly expanding field of big data analytics has started to play a pivotal role in the evolution of healthcare practices and research.
It has provided tools to accumulate, manage, analyze, and assimilate large volumes of disparate, structured, and unstructured data produced by current healthcare systems.
Big data analytics has been recently applied towards aiding the process of care delivery and disease exploration.
However, the adoption rate and research development in this space is still hindered by some fundamental problems inherent within the big data paradigm.
In this paper, we discuss some of these major challenges with a focus on three upcoming and promising areas of medical research: image, signal, and genomics based analytics.
Recent research which targets utilization of large volumes of medical data while combining multimodal data from disparate sources is discussed.
Potential areas of research within this field which have the ability to provide meaningful impact on healthcare delivery are also examined.
American Psychological Association (APA)
Belle, Ashwin& Thiagarajan, Raghuram& Soroushmehr, S. M. Reza& Navidi, Fatemeh& Beard, Daniel A.& Najarian, Kayvan. 2015. Big Data Analytics in Healthcare. BioMed Research International،Vol. 2015, no. 2015, pp.1-16.
https://search.emarefa.net/detail/BIM-1055222
Modern Language Association (MLA)
Belle, Ashwin…[et al.]. Big Data Analytics in Healthcare. BioMed Research International No. 2015 (2015), pp.1-16.
https://search.emarefa.net/detail/BIM-1055222
American Medical Association (AMA)
Belle, Ashwin& Thiagarajan, Raghuram& Soroushmehr, S. M. Reza& Navidi, Fatemeh& Beard, Daniel A.& Najarian, Kayvan. Big Data Analytics in Healthcare. BioMed Research International. 2015. Vol. 2015, no. 2015, pp.1-16.
https://search.emarefa.net/detail/BIM-1055222
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1055222