Multilayer Neural Network Design for the Calculation of Risk Factor Associated with COVID-19

Coronavirus disease 2019 (COVID-19) is a public health emergency and is of international concern. Till now, there is no effective pharmaceutical treatment available for this disease. This paper presents a multilayer neural network algorithm to calculate the risk factor of getting COVID-19 to the ind...

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Detalles Bibliográficos
Autores principales: Chaudhary, Anshu, Sharma, Manisha
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer Singapore 2021
Materias:
Original Paper
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7941404/
http://dx.doi.org/10.1007/s41133-021-00044-4
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author Chaudhary, Anshu
Sharma, Manisha
author_facet Chaudhary, Anshu
Sharma, Manisha
author_sort Chaudhary, Anshu
collection PubMed
description Coronavirus disease 2019 (COVID-19) is a public health emergency and is of international concern. Till now, there is no effective pharmaceutical treatment available for this disease. This paper presents a multilayer neural network algorithm to calculate the risk factor of getting COVID-19 to the individual based on the symptoms described by World Health Organization. The aim of this study is to provide an approximate risk factor of getting COVID-19 to an individual that helps for further treatment.
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spelling pubmed-79414042021-03-09 Multilayer Neural Network Design for the Calculation of Risk Factor Associated with COVID-19 Chaudhary, Anshu Sharma, Manisha Augment Hum Res Original Paper Coronavirus disease 2019 (COVID-19) is a public health emergency and is of international concern. Till now, there is no effective pharmaceutical treatment available for this disease. This paper presents a multilayer neural network algorithm to calculate the risk factor of getting COVID-19 to the individual based on the symptoms described by World Health Organization. The aim of this study is to provide an approximate risk factor of getting COVID-19 to an individual that helps for further treatment. Springer Singapore 2021-03-09 2021 /pmc/articles/PMC7941404/ http://dx.doi.org/10.1007/s41133-021-00044-4 Text en © The Author(s), under exclusive licence to Springer Nature Singapore Pte Ltd. part of Springer Nature 2021 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 Original Paper
Chaudhary, Anshu
Sharma, Manisha
Multilayer Neural Network Design for the Calculation of Risk Factor Associated with COVID-19
title Multilayer Neural Network Design for the Calculation of Risk Factor Associated with COVID-19
title_full Multilayer Neural Network Design for the Calculation of Risk Factor Associated with COVID-19
title_fullStr Multilayer Neural Network Design for the Calculation of Risk Factor Associated with COVID-19
title_full_unstemmed Multilayer Neural Network Design for the Calculation of Risk Factor Associated with COVID-19
title_short Multilayer Neural Network Design for the Calculation of Risk Factor Associated with COVID-19
title_sort multilayer neural network design for the calculation of risk factor associated with covid-19
topic Original Paper
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7941404/
http://dx.doi.org/10.1007/s41133-021-00044-4
work_keys_str_mv AT chaudharyanshu multilayerneuralnetworkdesignforthecalculationofriskfactorassociatedwithcovid19
AT sharmamanisha multilayerneuralnetworkdesignforthecalculationofriskfactorassociatedwithcovid19

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