UGC Approved Journal no 63975(19)

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

Volume 8 Issue 11
November-2021
eISSN: 2349-5162

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

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Published Paper ID:
JETIR2111301


Registration ID:
317381

Page Number

d1-d13

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Title

PERFORMANCE OF SEVERAL MACHINE LEARNING ALGORITHMS FOR DETECTING COVID-19 ON CLINICAL TEXT DATA

Abstract

Innovation progressions rapidly affect each field of life, be it clinical field or some other field. Man-made consciousness has shown the promising outcomes in medical services through its dynamic by examining the information. Coronavirus has influenced in excess of 100 nations in an issue of no time. Individuals everywhere on the world are helpless against its results in future. It is basic to foster a control framework that will identify the Covid. One of the answer for control the flow destruction can be the conclusion of infection with the assistance of different AI instruments. In this paper, we characterized literary clinical reports into four classes by utilizing traditional and troupe AI calculations. Highlight designing was performed utilizing methods like Term recurrence/backwards archive recurrence (TF/IDF), Bag of words (BOW) and report length. These highlights were provided to customary and outfit AI classifiers. Calculated relapse and Multinomial Naïve Bayes showed preferred outcomes over other ML calculations by having 96.2% testing exactness. In future intermittent neural organization can be utilized for better exactness.

Key Words

Artificial Intelligence, COVID-19, Machine Learning, Ensemble Model.

Cite This Article

"PERFORMANCE OF SEVERAL MACHINE LEARNING ALGORITHMS FOR DETECTING COVID-19 ON CLINICAL TEXT DATA", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.8, Issue 11, page no.d1-d13, November-2021, Available :http://www.jetir.org/papers/JETIR2111301.pdf

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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

"PERFORMANCE OF SEVERAL MACHINE LEARNING ALGORITHMS FOR DETECTING COVID-19 ON CLINICAL TEXT DATA", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.8, Issue 11, page no. ppd1-d13, November-2021, Available at : http://www.jetir.org/papers/JETIR2111301.pdf

Publication Details

Published Paper ID: JETIR2111301
Registration ID: 317381
Published In: Volume 8 | Issue 11 | Year November-2021
DOI (Digital Object Identifier):
Page No: d1-d13
Country: -, -, India .
Area: Engineering
ISSN Number: 2349-5162
Publisher: IJ Publication


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