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Artificial intelligence-based solutions for COVID-19

Witness the coronavirus disease 2019 (COVID-19) virus becoming more deadly. Artificial intelligence (AI) scientists are using social media, the web, and other knowledge machine learning techniques to look for subtle signs that the disease may spread elsewhere. AI is a weapon in the battle against th...

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Autores principales: Pawar, Mohandas V., Pawar, Asha Mohandas, Bhapkar, Haribhau, Anuradha, J., Bachate, Ravindra, Sharma, Ashok, Bhoyar, Suraj, Shardoor, Nikhilkumar
Formato: Online Artículo Texto
Lenguaje:English
Publicado: 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8988883/
http://dx.doi.org/10.1016/B978-0-323-90769-9.00004-9
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author Pawar, Mohandas V.
Pawar, Asha Mohandas
Bhapkar, Haribhau
Anuradha, J.
Bachate, Ravindra
Sharma, Ashok
Bhoyar, Suraj
Shardoor, Nikhilkumar
author_facet Pawar, Mohandas V.
Pawar, Asha Mohandas
Bhapkar, Haribhau
Anuradha, J.
Bachate, Ravindra
Sharma, Ashok
Bhoyar, Suraj
Shardoor, Nikhilkumar
author_sort Pawar, Mohandas V.
collection PubMed
description Witness the coronavirus disease 2019 (COVID-19) virus becoming more deadly. Artificial intelligence (AI) scientists are using social media, the web, and other knowledge machine learning techniques to look for subtle signs that the disease may spread elsewhere. AI is a weapon in the battle against the infectious pandemic that has had impacts on the whole planet since early 2020. It echoes the high hopes of data science to confront the coronavirus in the press and the scientific community. The AI approach is used in the battle for cure, prediction, and pandemic predictors. Improving AI is a good step toward growing such uncertainties, one of the essential data analytics tools built over the past decade or so. Data scientists have approached the task of motivation. The index is growing exponentially as work information surface, beyond the potential of humans to do it alone. AI describes large data models, and this chapter should clarify how this challenge has become one of the ace cards of humanity. Advances in AI software, such as natural language processing, expression understanding, data mining, etc., are used for diagnosis as well as traceability and production of vaccines. AI has supported and contributed to the control of the COVID-19 pandemic. We include an initial overview of the real and potential contribution of AI to the fight against COVID-19 and the existing constraints on these contributions. In this chapter, different technologic solutions using AI for COVID-19 have been discussed.
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spelling pubmed-89888832022-04-11 Artificial intelligence-based solutions for COVID-19 Pawar, Mohandas V. Pawar, Asha Mohandas Bhapkar, Haribhau Anuradha, J. Bachate, Ravindra Sharma, Ashok Bhoyar, Suraj Shardoor, Nikhilkumar Data Science for COVID-19 Article Witness the coronavirus disease 2019 (COVID-19) virus becoming more deadly. Artificial intelligence (AI) scientists are using social media, the web, and other knowledge machine learning techniques to look for subtle signs that the disease may spread elsewhere. AI is a weapon in the battle against the infectious pandemic that has had impacts on the whole planet since early 2020. It echoes the high hopes of data science to confront the coronavirus in the press and the scientific community. The AI approach is used in the battle for cure, prediction, and pandemic predictors. Improving AI is a good step toward growing such uncertainties, one of the essential data analytics tools built over the past decade or so. Data scientists have approached the task of motivation. The index is growing exponentially as work information surface, beyond the potential of humans to do it alone. AI describes large data models, and this chapter should clarify how this challenge has become one of the ace cards of humanity. Advances in AI software, such as natural language processing, expression understanding, data mining, etc., are used for diagnosis as well as traceability and production of vaccines. AI has supported and contributed to the control of the COVID-19 pandemic. We include an initial overview of the real and potential contribution of AI to the fight against COVID-19 and the existing constraints on these contributions. In this chapter, different technologic solutions using AI for COVID-19 have been discussed. 2022 2022-01-14 /pmc/articles/PMC8988883/ http://dx.doi.org/10.1016/B978-0-323-90769-9.00004-9 Text en Copyright © 2022 Elsevier Inc. All rights reserved. Since January 2020 Elsevier has created a COVID-19 resource centre with free information in English and Mandarin on the novel coronavirus COVID-19. The COVID-19 resource centre is hosted on Elsevier Connect, the company's public news and information website. Elsevier hereby grants permission to make all its COVID-19-related research that is available on the COVID-19 resource centre - including this research content - immediately available in PubMed Central and other publicly funded repositories, such as the WHO COVID database with rights for unrestricted research re-use and analyses in any form or by any means with acknowledgement of the original source. These permissions are granted for free by Elsevier for as long as the COVID-19 resource centre remains active.
spellingShingle Article
Pawar, Mohandas V.
Pawar, Asha Mohandas
Bhapkar, Haribhau
Anuradha, J.
Bachate, Ravindra
Sharma, Ashok
Bhoyar, Suraj
Shardoor, Nikhilkumar
Artificial intelligence-based solutions for COVID-19
title Artificial intelligence-based solutions for COVID-19
title_full Artificial intelligence-based solutions for COVID-19
title_fullStr Artificial intelligence-based solutions for COVID-19
title_full_unstemmed Artificial intelligence-based solutions for COVID-19
title_short Artificial intelligence-based solutions for COVID-19
title_sort artificial intelligence-based solutions for covid-19
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8988883/
http://dx.doi.org/10.1016/B978-0-323-90769-9.00004-9
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