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Utility of Artificial Intelligence Amidst the COVID 19 Pandemic: A Review
The term machine learning refers to a collection of tools used for identifying patterns in data. As opposed to traditional methods of pattern identification, machine learning tools relies on artificial intelligence to map out patters from large amounts of data, can self-improve as and when new data...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Springer US
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7395799/ https://www.ncbi.nlm.nih.gov/pubmed/32740678 http://dx.doi.org/10.1007/s10916-020-01617-3 |
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author | Bansal, Agam Padappayil, Rana Prathap Garg, Chandan Singal, Anjali Gupta, Mohak Klein, Allan |
author_facet | Bansal, Agam Padappayil, Rana Prathap Garg, Chandan Singal, Anjali Gupta, Mohak Klein, Allan |
author_sort | Bansal, Agam |
collection | PubMed |
description | The term machine learning refers to a collection of tools used for identifying patterns in data. As opposed to traditional methods of pattern identification, machine learning tools relies on artificial intelligence to map out patters from large amounts of data, can self-improve as and when new data becomes available and is quicker in accomplishing these tasks. This review describes various techniques of machine learning that have been used in the past in the prediction, detection and management of infectious diseases, and how these tools are being brought into the battle against COVID-19. In addition, we also discuss their applications in various stages of the pandemic, the advantages, disadvantages and possible pit falls. |
format | Online Article Text |
id | pubmed-7395799 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | Springer US |
record_format | MEDLINE/PubMed |
spelling | pubmed-73957992020-08-03 Utility of Artificial Intelligence Amidst the COVID 19 Pandemic: A Review Bansal, Agam Padappayil, Rana Prathap Garg, Chandan Singal, Anjali Gupta, Mohak Klein, Allan J Med Syst Mobile & Wireless Health The term machine learning refers to a collection of tools used for identifying patterns in data. As opposed to traditional methods of pattern identification, machine learning tools relies on artificial intelligence to map out patters from large amounts of data, can self-improve as and when new data becomes available and is quicker in accomplishing these tasks. This review describes various techniques of machine learning that have been used in the past in the prediction, detection and management of infectious diseases, and how these tools are being brought into the battle against COVID-19. In addition, we also discuss their applications in various stages of the pandemic, the advantages, disadvantages and possible pit falls. Springer US 2020-08-01 2020 /pmc/articles/PMC7395799/ /pubmed/32740678 http://dx.doi.org/10.1007/s10916-020-01617-3 Text en © Springer Science+Business Media, LLC, part of Springer Nature 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 | Mobile & Wireless Health Bansal, Agam Padappayil, Rana Prathap Garg, Chandan Singal, Anjali Gupta, Mohak Klein, Allan Utility of Artificial Intelligence Amidst the COVID 19 Pandemic: A Review |
title | Utility of Artificial Intelligence Amidst the COVID 19 Pandemic: A Review |
title_full | Utility of Artificial Intelligence Amidst the COVID 19 Pandemic: A Review |
title_fullStr | Utility of Artificial Intelligence Amidst the COVID 19 Pandemic: A Review |
title_full_unstemmed | Utility of Artificial Intelligence Amidst the COVID 19 Pandemic: A Review |
title_short | Utility of Artificial Intelligence Amidst the COVID 19 Pandemic: A Review |
title_sort | utility of artificial intelligence amidst the covid 19 pandemic: a review |
topic | Mobile & Wireless Health |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7395799/ https://www.ncbi.nlm.nih.gov/pubmed/32740678 http://dx.doi.org/10.1007/s10916-020-01617-3 |
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