UGC Approved Journal no 63975(19)

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

Volume 9 Issue 6
June-2022
eISSN: 2349-5162

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

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Published Paper ID:
JETIRFM06060


Registration ID:
403691

Page Number

338-343

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Title

Review of Epidemic Analysis Ontologies

Abstract

On the one hand, Machine Learning has proven its efficiency to analyze and predict epidemics evolution if the adequate data is used. On the other hand, Ontologies are a strong way to unify the understanding of information among people or software agents. In this context, we study the use of Ontologies to guide the data scientists and the data engineers to adopt the more meaningful data for the Machine Learning models aiming analyzing and predicting the epidemics evolution in general by taking Covid-19 as an example.

Key Words

Covid-19, Ontology, Analysis, Machine Learning, Epidemic

Cite This Article

"Review of Epidemic Analysis Ontologies", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.9, Issue 6, page no.338-343, June-2022, Available :http://www.jetir.org/papers/JETIRFM06060.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

"Review of Epidemic Analysis Ontologies", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.9, Issue 6, page no. pp338-343, June-2022, Available at : http://www.jetir.org/papers/JETIRFM06060.pdf

Publication Details

Published Paper ID: JETIRFM06060
Registration ID: 403691
Published In: Volume 9 | Issue 6 | Year June-2022
DOI (Digital Object Identifier):
Page No: 338-343
Country: -, -, India .
Area: Engineering
ISSN Number: 2349-5162
Publisher: IJ Publication


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