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Published in:

Volume 7 Issue 5
May-2020
eISSN: 2349-5162

Unique Identifier

JETIR2005223

Page Number

585-591

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Title

Healthcare Analysis Using Big Data

ISSN

2349-5162

Cite This Article

"Healthcare Analysis Using Big Data", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.7, Issue 5, page no.585-591, May-2020, Available :http://www.jetir.org/papers/JETIR2005223.pdf

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Abstract

Healthcare Analytics is a term used to describe the activities related to healthcare analysis that can be reckoned as a result of data collected from healthcare area that includes claims and cost data, pharmacy data, research and development data, clinical records, and patient behavior and sentiment data and other types of health-related data too. Healthcare analysis using Big Data can be used to predict contamination, cure diseases, and to avoid preventable deaths. The main aim of this paper is to describe the nascent field of big data analytics in healthcare and to perform real-time analytics on healthcare using Hadoop and RStudio, and help executives and research professionals from hospitals, health systems, and other healthcare provider organizations to identify and understand big data analytics for innovative uses of data assets that can enable them to reduce costs and provide more accessible care.

Key Words

Big data, Healthcare, Healthcare Analytics

Cite This Article

"Healthcare Analysis Using Big Data", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.7, Issue 5, page no. pp585-591, May-2020, Available at : http://www.jetir.org/papers/JETIR2005223.pdf

Publication Details

Published Paper ID: JETIR2005223
Registration ID: 232158
Published In: Volume 7 | Issue 5 | Year May-2020
DOI (Digital Object Identifier):
Page No: 585-591
ISSN Number: 2349-5162

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Cite This Article

"Healthcare Analysis Using Big Data", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.7, Issue 5, page no. pp585-591, May-2020, Available at : http://www.jetir.org/papers/JETIR2005223.pdf




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