Potential of Big Data Analytics in Bio-medical  and Health Care Arena: An Exploratory Study

Potential of Big Data Analytics in Bio-medical and Health Care Arena: An Exploratory Study

Mandava Geetha Bhargava

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Modugula T S Srinivasa Reddy

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Shaik Shahbaz

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P Venkateswara Rao

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V. Sucharita

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α KL University

ρ Koneru Lakshmaiah Education Foundation

Potential of Big Data Analytics in Bio-medical and Health Care Arena: An Exploratory Study

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Abstract

With the leveraging emerging big Data in every industry, Big Data can amalgamate all data related to patient to get a complete view of patient to analyze and predict the outcomes. Using big data analytics as tools. It can enhance development in new drugs, health care financing process and clinical approaches and extends a lots of benefits such as better health care quality and efficiency, fraud detection and early disease detection by means of analytics of big data. This paper provides a general survey of current progress and advances in research arena of big data, bio-medical and health care and some major challenges of big data concept and characteristics, this concerns includes big data from bio-medical and health care arena, benefits of big data, its applications and opportunities, Methods and technology progress about big data in bio-medical and health care and challenges of big data in both bio-medical and healthcare are also discussed.

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Funding

No external funding was declared for this work.

Conflict of Interest

The authors declare no conflict of interest.

Ethical Approval

No ethics committee approval was required for this article type.

Data Availability

Not applicable for this article.

How to Cite This Article

Mandava Geetha Bhargava. 2017. \u201cPotential of Big Data Analytics in Bio-medical and Health Care Arena: An Exploratory Study\u201d. Global Journal of Computer Science and Technology - C: Software & Data Engineering GJCST-C Volume 17 (GJCST Volume 17 Issue C2): .

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GJCST Volume 17 Issue C2
Pg. 25- 30

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Journal Specifications

Crossref Journal DOI 10.17406/gjcst

Print ISSN 0975-4350

e-ISSN 0975-4172

Keywords

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GJCST-C Classification: J.3

Submission ReceivedDecember 12, 2016
Peer Review Double Blind
Handling Editor
Accepted January 4, 2017
Published January 15, 2017

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v1.2

Issue date

August 5, 2017

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Article Matrices

Total Score: 105

Country: India

Subject: Global Journal of Computer Science and Technology - C: Software & Data Engineering

Authors: Mandava Geetha Bhargava, Modugula T S Srinivasa Reddy, Shaik Shahbaz, P Venkateswara Rao, V. Sucharita (PhD/Dr. count: 0)

View Count (all-time): 257

Total Views (Real + Logic): 6409

Total Downloads (simulated): 1570

Publish Date: 2017 08, Sat

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Total Views: 6409

Total Downloads: 1570

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