UGC Approved Journal no 63975

ISSN: 2349-5162 | ESTD Year : 2014
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Published in:

Volume 6 Issue 10
October-2019
eISSN: 2349-5162

UGC and ISSN approved 7.95 impact factor UGC Approved Journal no 63975

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Published Paper ID:
JETIR1912138


Registration ID:
302132

Page Number

1014-1017

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Title

An analysis on Effectiveness of Big Data Analytics in Healthcare Industry

Abstract

Big data analytics is the powerful technology which provides effective service to many areas. In healthcare, this big data analytics provides lot of effects in human life saving. There are numerous amounts of data is being stored day by day. There are so many processes going on within healthcare sector. These are helps the patients as well as the doctors to diagnosis the diseases. Big data analytics helps to process that data for providing useful information and patterns. Though the role of big data analytics techniques, platforms, tools are used in various areas, their role on healthcare is more important.

Key Words

Big data, healthcare, Various Big Data types, Algorithms for Big Data

Cite This Article

"An analysis on Effectiveness of Big Data Analytics in Healthcare Industry", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.6, Issue 10, page no.1014-1017, October-2019, Available :http://www.jetir.org/papers/JETIR1912138.pdf

ISSN


2349-5162 | Impact Factor 7.95 Calculate by Google Scholar

An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 7.95 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator

Cite This Article

"An analysis on Effectiveness of Big Data Analytics in Healthcare Industry", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.6, Issue 10, page no. pp1014-1017, October-2019, Available at : http://www.jetir.org/papers/JETIR1912138.pdf

Publication Details

Published Paper ID: JETIR1912138
Registration ID: 302132
Published In: Volume 6 | Issue 10 | Year October-2019
DOI (Digital Object Identifier):
Page No: 1014-1017
Country: -, --, - .
Area: Engineering
ISSN Number: 2349-5162
Publisher: IJ Publication


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