Transfer Learning for COVID-19 cases and deaths forecast using LSTM network

In this paper, Transfer Learning is used in LSTM networks to forecast new COVID cases and deaths. Models trained in data from early COVID infected countries like Italy and the United States are used to forecast the spread in other countries. Single and multistep forecasting is performed from these m...

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Autor principal: Gautam, Yogesh
Formato: Online Artículo Texto
Lenguaje:English
Publicado: ISA. Published by Elsevier Ltd. 2022
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7834081/
https://www.ncbi.nlm.nih.gov/pubmed/33422330
http://dx.doi.org/10.1016/j.isatra.2020.12.057
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author Gautam, Yogesh
author_facet Gautam, Yogesh
author_sort Gautam, Yogesh
collection PubMed
description In this paper, Transfer Learning is used in LSTM networks to forecast new COVID cases and deaths. Models trained in data from early COVID infected countries like Italy and the United States are used to forecast the spread in other countries. Single and multistep forecasting is performed from these models. The results from these models are tested with data from Germany, France, Brazil, India, and Nepal to check the validity of the method. The obtained forecasts are promising and can be helpful for policymakers coping with the threats of COVID-19.
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spelling pubmed-78340812021-01-26 Transfer Learning for COVID-19 cases and deaths forecast using LSTM network Gautam, Yogesh ISA Trans Research Article In this paper, Transfer Learning is used in LSTM networks to forecast new COVID cases and deaths. Models trained in data from early COVID infected countries like Italy and the United States are used to forecast the spread in other countries. Single and multistep forecasting is performed from these models. The results from these models are tested with data from Germany, France, Brazil, India, and Nepal to check the validity of the method. The obtained forecasts are promising and can be helpful for policymakers coping with the threats of COVID-19. ISA. Published by Elsevier Ltd. 2022-05 2021-01-04 /pmc/articles/PMC7834081/ /pubmed/33422330 http://dx.doi.org/10.1016/j.isatra.2020.12.057 Text en © 2020 ISA. Published by Elsevier Ltd. 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 Research Article
Gautam, Yogesh
Transfer Learning for COVID-19 cases and deaths forecast using LSTM network
title Transfer Learning for COVID-19 cases and deaths forecast using LSTM network
title_full Transfer Learning for COVID-19 cases and deaths forecast using LSTM network
title_fullStr Transfer Learning for COVID-19 cases and deaths forecast using LSTM network
title_full_unstemmed Transfer Learning for COVID-19 cases and deaths forecast using LSTM network
title_short Transfer Learning for COVID-19 cases and deaths forecast using LSTM network
title_sort transfer learning for covid-19 cases and deaths forecast using lstm network
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7834081/
https://www.ncbi.nlm.nih.gov/pubmed/33422330
http://dx.doi.org/10.1016/j.isatra.2020.12.057
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