UGC Approved Journal no 63975

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

Volume 8 Issue 7
July-2021
eISSN: 2349-5162

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

7.95 impact factor calculated by Google scholar

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Published Paper ID:
JETIR2107396


Registration ID:
312592

Page Number

d52-d57

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Title

Artificial Intelligence Methods for Diagnosis and Treatment of Covid-19

Abstract

Nowadays, Artificial Intelligence has a very significant role in the medical field. AI methods and tools can be used to diagnose and provide treatment to covid19 infected patients. Different AI technologies like Machine Learning (ML), Deep Learning (DL) including Recurrent Neural Network (RNN), Generative Adversarial Networks (GANs), Extreme Learning Machine (ELM), and Long /Short Term Memory (LSTM) is introduced in this paper. Numerous false reports, misinformation, fear regard to coronavirus, it is circulated regularly since the outbreak of the COVID19, so we collect valid data from medical reports, clinical data, and medical images.

Key Words

Artificial Intelligence, Deep Learning, RNN, GAN, ELM, LSTM, Diagnosis, Treatment.

Cite This Article

"Artificial Intelligence Methods for Diagnosis and Treatment of Covid-19", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.8, Issue 7, page no.d52-d57, July-2021, Available :http://www.jetir.org/papers/JETIR2107396.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

"Artificial Intelligence Methods for Diagnosis and Treatment of Covid-19", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.8, Issue 7, page no. ppd52-d57, July-2021, Available at : http://www.jetir.org/papers/JETIR2107396.pdf

Publication Details

Published Paper ID: JETIR2107396
Registration ID: 312592
Published In: Volume 8 | Issue 7 | Year July-2021
DOI (Digital Object Identifier):
Page No: d52-d57
Country: Changanassery, Kerala, India .
Area: Science & Technology
ISSN Number: 2349-5162


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