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

Anshu Chaudhary, Manisha Sharma
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引用次数: 2

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.

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基于多层神经网络的新型冠状病毒相关风险因子计算
2019冠状病毒病(COVID-19)是国际关注的突发公共卫生事件。到目前为止,还没有有效的药物治疗这种疾病。本文提出了一种多层神经网络算法,以世界卫生组织描述的症状为基础,计算个体感染COVID-19的风险因素。本研究的目的是为个体感染COVID-19提供一个大致的风险因素,以帮助进一步治疗。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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