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The Impact of Big Data Applications in Health Care Industry

N. Vanjulavalli1 , M. Saravanan2

Section:Survey Paper, Product Type: Journal Paper
Volume-07 , Issue-04 , Page no. 325-327, Feb-2019

Online published on Feb 28, 2019

Copyright © N. Vanjulavalli, M. Saravanan . This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

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IEEE Style Citation: N. Vanjulavalli, M. Saravanan, “The Impact of Big Data Applications in Health Care Industry,” International Journal of Computer Sciences and Engineering, Vol.07, Issue.04, pp.325-327, 2019.

MLA Style Citation: N. Vanjulavalli, M. Saravanan "The Impact of Big Data Applications in Health Care Industry." International Journal of Computer Sciences and Engineering 07.04 (2019): 325-327.

APA Style Citation: N. Vanjulavalli, M. Saravanan, (2019). The Impact of Big Data Applications in Health Care Industry. International Journal of Computer Sciences and Engineering, 07(04), 325-327.

BibTex Style Citation:
@article{Vanjulavalli_2019,
author = {N. Vanjulavalli, M. Saravanan},
title = {The Impact of Big Data Applications in Health Care Industry},
journal = {International Journal of Computer Sciences and Engineering},
issue_date = {2 2019},
volume = {07},
Issue = {04},
month = {2},
year = {2019},
issn = {2347-2693},
pages = {325-327},
url = {https://www.ijcseonline.org/full_spl_paper_view.php?paper_id=782},
publisher = {IJCSE, Indore, INDIA},
}

RIS Style Citation:
TY - JOUR
UR - https://www.ijcseonline.org/full_spl_paper_view.php?paper_id=782
TI - The Impact of Big Data Applications in Health Care Industry
T2 - International Journal of Computer Sciences and Engineering
AU - N. Vanjulavalli, M. Saravanan
PY - 2019
DA - 2019/02/28
PB - IJCSE, Indore, INDIA
SP - 325-327
IS - 04
VL - 07
SN - 2347-2693
ER -

           

Abstract

With the advent of new technologies, devices and communication means like social networking sites the amount of data produced by mankind is increasing every year. Though the information produce is meaningful, it can be useful only with proper data analytics. There is a vast amount of data generated in the healthcare industry in recent years. This paper discusses about the recent research of big data tools and approaches for the analysis of healthcare informatics data gathered at various levels. The data thus collected is to be structured and analyzed for finding possible solutions. In this paper we use the predictive analysis algorithm in Hadoop and Map Reduce to predict the diabetes prevalent, complications associated with it and the type of treatment to be provided. The result is predicted based on the analysis of big data in an efficient way to cure and care the patients.

Key-Words / Index Term

Ecosystem for Health care, Big Data Case, Need of Big Data in Government

References

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[3]. Jeffrey Dean and Sanjay Ghemawat,MapReduce: Simplified Data Processing on Large Clusters,ACM,2008
[4]. Cong Wang, Privacy-Preserving Public Auditing for Secure Cloud Storage,IEEE,2010
[5]. Konstantin Shvachko, HairongKuang, Sanjay Radia, Robert Chansler ,The Hadoop Distributed File System,IEEE,2010
[6]. Bill Hamilton, Big Data Is the Future of Healthcare, Cognizant white paper, 2010.
[7]. White Paper by SAS, How Government are using the Power of High Performance Analytics, 2013.