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AI Techniques and Mathematical Modeling to Detect Coronavirus
The epic coronavirus (COVID-19) flare-up, distinguished in late 2019, requires unique consideration in view of its future pandemics and conceivable worldwide dangers. In addition to clinical methodology and medicines, artificial intelligence (AI) guarantees another worldview for social welfare, a fe...
Autores principales: | , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Springer India
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7668023/ http://dx.doi.org/10.1007/s40031-020-00514-0 |
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author | Ahmed, Kashif Gouda, Niharika |
author_facet | Ahmed, Kashif Gouda, Niharika |
author_sort | Ahmed, Kashif |
collection | PubMed |
description | The epic coronavirus (COVID-19) flare-up, distinguished in late 2019, requires unique consideration in view of its future pandemics and conceivable worldwide dangers. In addition to clinical methodology and medicines, artificial intelligence (AI) guarantees another worldview for social welfare, a few distinctive AI methods that are based upon machine learning calculations are utilized for investigating information and dynamic procedures. This paper presents a survey on various mathematical model and AI-based devices to understand its growth which could assist in ruling out COVID-19 infection. Also, a new technique for the forecast of the disease is investigated. These methods if inculcated in practice can help in curtailing the further spread of the disease. |
format | Online Article Text |
id | pubmed-7668023 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | Springer India |
record_format | MEDLINE/PubMed |
spelling | pubmed-76680232020-11-16 AI Techniques and Mathematical Modeling to Detect Coronavirus Ahmed, Kashif Gouda, Niharika J. Inst. Eng. India Ser. B Case Study The epic coronavirus (COVID-19) flare-up, distinguished in late 2019, requires unique consideration in view of its future pandemics and conceivable worldwide dangers. In addition to clinical methodology and medicines, artificial intelligence (AI) guarantees another worldview for social welfare, a few distinctive AI methods that are based upon machine learning calculations are utilized for investigating information and dynamic procedures. This paper presents a survey on various mathematical model and AI-based devices to understand its growth which could assist in ruling out COVID-19 infection. Also, a new technique for the forecast of the disease is investigated. These methods if inculcated in practice can help in curtailing the further spread of the disease. Springer India 2020-11-16 2021 /pmc/articles/PMC7668023/ http://dx.doi.org/10.1007/s40031-020-00514-0 Text en © The Institution of Engineers (India) 2020 This article is made available via the PMC Open Access Subset for unrestricted research re-use and secondary analysis in any form or by any means with acknowledgement of the original source. These permissions are granted for the duration of the World Health Organization (WHO) declaration of COVID-19 as a global pandemic. |
spellingShingle | Case Study Ahmed, Kashif Gouda, Niharika AI Techniques and Mathematical Modeling to Detect Coronavirus |
title | AI Techniques and Mathematical Modeling to Detect Coronavirus |
title_full | AI Techniques and Mathematical Modeling to Detect Coronavirus |
title_fullStr | AI Techniques and Mathematical Modeling to Detect Coronavirus |
title_full_unstemmed | AI Techniques and Mathematical Modeling to Detect Coronavirus |
title_short | AI Techniques and Mathematical Modeling to Detect Coronavirus |
title_sort | ai techniques and mathematical modeling to detect coronavirus |
topic | Case Study |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7668023/ http://dx.doi.org/10.1007/s40031-020-00514-0 |
work_keys_str_mv | AT ahmedkashif aitechniquesandmathematicalmodelingtodetectcoronavirus AT goudaniharika aitechniquesandmathematicalmodelingtodetectcoronavirus |