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

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 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. http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png Augmented Human Research Springer Journals

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

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Publisher
Springer Journals
Copyright
Copyright © The Author(s), under exclusive licence to Springer Nature Singapore Pte Ltd. part of Springer Nature 2021
ISSN
2365-4317
eISSN
2365-4325
DOI
10.1007/s41133-021-00044-4
Publisher site
See Article on Publisher Site

Abstract

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.

Journal

Augmented Human Research – Springer Journals

Published: Mar 9, 2021

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