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Artificial Intelligence for Forecasting the Prevalence of COVID-19 Pandemic: An Overview
Since the discovery of COVID-19 at the end of 2019, a significant surge in forecasting publications has been recorded. Both statistical and artificial intelligence (AI) approaches have been reported; however, the AI approaches showed a better accuracy compared with the statistical approaches. This s...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8700845/ https://www.ncbi.nlm.nih.gov/pubmed/34946340 http://dx.doi.org/10.3390/healthcare9121614 |
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author | Elsheikh, Ammar H. Saba, Amal I. Panchal, Hitesh Shanmugan, Sengottaiyan Alsaleh, Naser A. Ahmadein, Mahmoud |
author_facet | Elsheikh, Ammar H. Saba, Amal I. Panchal, Hitesh Shanmugan, Sengottaiyan Alsaleh, Naser A. Ahmadein, Mahmoud |
author_sort | Elsheikh, Ammar H. |
collection | PubMed |
description | Since the discovery of COVID-19 at the end of 2019, a significant surge in forecasting publications has been recorded. Both statistical and artificial intelligence (AI) approaches have been reported; however, the AI approaches showed a better accuracy compared with the statistical approaches. This study presents a review on the applications of different AI approaches used in forecasting the spread of this pandemic. The fundamentals of the commonly used AI approaches in this context are briefly explained. Evaluation of the forecasting accuracy using different statistical measures is introduced. This review may assist researchers, experts and policy makers involved in managing the COVID-19 pandemic to develop more accurate forecasting models and enhanced strategies to control the spread of this pandemic. Additionally, this review study is highly significant as it provides more important information of AI applications in forecasting the prevalence of this pandemic. |
format | Online Article Text |
id | pubmed-8700845 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-87008452021-12-24 Artificial Intelligence for Forecasting the Prevalence of COVID-19 Pandemic: An Overview Elsheikh, Ammar H. Saba, Amal I. Panchal, Hitesh Shanmugan, Sengottaiyan Alsaleh, Naser A. Ahmadein, Mahmoud Healthcare (Basel) Review Since the discovery of COVID-19 at the end of 2019, a significant surge in forecasting publications has been recorded. Both statistical and artificial intelligence (AI) approaches have been reported; however, the AI approaches showed a better accuracy compared with the statistical approaches. This study presents a review on the applications of different AI approaches used in forecasting the spread of this pandemic. The fundamentals of the commonly used AI approaches in this context are briefly explained. Evaluation of the forecasting accuracy using different statistical measures is introduced. This review may assist researchers, experts and policy makers involved in managing the COVID-19 pandemic to develop more accurate forecasting models and enhanced strategies to control the spread of this pandemic. Additionally, this review study is highly significant as it provides more important information of AI applications in forecasting the prevalence of this pandemic. MDPI 2021-11-23 /pmc/articles/PMC8700845/ /pubmed/34946340 http://dx.doi.org/10.3390/healthcare9121614 Text en © 2021 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Review Elsheikh, Ammar H. Saba, Amal I. Panchal, Hitesh Shanmugan, Sengottaiyan Alsaleh, Naser A. Ahmadein, Mahmoud Artificial Intelligence for Forecasting the Prevalence of COVID-19 Pandemic: An Overview |
title | Artificial Intelligence for Forecasting the Prevalence of COVID-19 Pandemic: An Overview |
title_full | Artificial Intelligence for Forecasting the Prevalence of COVID-19 Pandemic: An Overview |
title_fullStr | Artificial Intelligence for Forecasting the Prevalence of COVID-19 Pandemic: An Overview |
title_full_unstemmed | Artificial Intelligence for Forecasting the Prevalence of COVID-19 Pandemic: An Overview |
title_short | Artificial Intelligence for Forecasting the Prevalence of COVID-19 Pandemic: An Overview |
title_sort | artificial intelligence for forecasting the prevalence of covid-19 pandemic: an overview |
topic | Review |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8700845/ https://www.ncbi.nlm.nih.gov/pubmed/34946340 http://dx.doi.org/10.3390/healthcare9121614 |
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