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本文引用的文献

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Education and the COVID-19 pandemic.教育与新冠疫情
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2
Clinical Characteristics of Coronavirus Disease 2019 in China.《中国 2019 年冠状病毒病临床特征》
N Engl J Med. 2020 Apr 30;382(18):1708-1720. doi: 10.1056/NEJMoa2002032. Epub 2020 Feb 28.
3
Nonpharmaceutical Measures for Pandemic Influenza in Nonhealthcare Settings-Social Distancing Measures.非卫生保健环境中大流行性流感的非药物干预措施——社会隔离措施。
Emerg Infect Dis. 2020 May;26(5):976-984. doi: 10.3201/eid2605.190995. Epub 2020 May 17.
4
SARS and MERS: recent insights into emerging coronaviruses.严重急性呼吸综合征和中东呼吸综合征：对新型冠状病毒的最新见解
Nat Rev Microbiol. 2016 Aug;14(8):523-34. doi: 10.1038/nrmicro.2016.81. Epub 2016 Jun 27.
5
"Neural" computation of decisions in optimization problems.优化问题中决策的“神经”计算。
Biol Cybern. 1985;52(3):141-52. doi: 10.1007/BF00339943.

用于计算与COVID-19相关风险因素的多层神经网络设计

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

作者信息

Chaudhary Anshu, Sharma Manisha

机构信息

Department of Mathematics, Panjab University, Chandigarh, India.

出版信息

Augment Hum Res. 2021;6(1):6. doi: 10.1007/s41133-021-00044-4. Epub 2021 Mar 9.

DOI:10.1007/s41133-021-00044-4
PMID:40477219
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC7941404/
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.

摘要

2019冠状病毒病（COVID-19）是突发公共卫生事件，受到国际关注。目前，针对该疾病尚无有效的药物治疗方法。本文提出了一种多层神经网络算法，可根据世界卫生组织描述的症状计算个体感染COVID-19的风险因素。本研究的目的是为个体提供感染COVID-19的近似风险因素，以辅助进一步治疗。