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Reseach Article

A Survey of Cost-Effective Big Data in Healthcare Applications

Published on June 2016 by Vishnu S. Basuthkar, Chetana Srinivas
National Conference on Advances in Computing, Communication and Networking
Foundation of Computer Science USA
ACCNET2016 - Number 2
June 2016
Authors: Vishnu S. Basuthkar, Chetana Srinivas
2a60788f-aa10-46fb-b4f3-53ec30e7c651

Vishnu S. Basuthkar, Chetana Srinivas . A Survey of Cost-Effective Big Data in Healthcare Applications. National Conference on Advances in Computing, Communication and Networking. ACCNET2016, 2 (June 2016), 23-27.

@article{
author = { Vishnu S. Basuthkar, Chetana Srinivas },
title = { A Survey of Cost-Effective Big Data in Healthcare Applications },
journal = { National Conference on Advances in Computing, Communication and Networking },
issue_date = { June 2016 },
volume = { ACCNET2016 },
number = { 2 },
month = { June },
year = { 2016 },
issn = 0975-8887,
pages = { 23-27 },
numpages = 5,
url = { /proceedings/accnet2016/number2/24979-2268/ },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Proceeding Article
%1 National Conference on Advances in Computing, Communication and Networking
%A Vishnu S. Basuthkar
%A Chetana Srinivas
%T A Survey of Cost-Effective Big Data in Healthcare Applications
%J National Conference on Advances in Computing, Communication and Networking
%@ 0975-8887
%V ACCNET2016
%N 2
%P 23-27
%D 2016
%I International Journal of Computer Applications
Abstract

The digitization of processes involved in the healthcare industry (HI) produces the massive amount of data, which is characterized by all the attributes of big data definitions. The analytics of these data may provide multifold benefits in both clinical practices as well as into management perspective in HI. There are requirements of supporting tools and methodologies to acquire, store, process, warehousing and analytics processes. This paper aims to collect initially generic tools for handling these issues of big data and later inferences the existing research attributes and practices, which are closely related to big data analytics. The methodology adopted is data collection mechanism from different sources such as specific blocks, textbooks, academic research papers. The outcome of this survey paper is beneficial for academician, researchers, and industries, who have interest into big data analytics and very specific to healthcare industry.

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Index Terms

Computer Science
Information Sciences

Keywords

Analytics Big Data Healthcare Industry Warehousing.