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用于冠状病毒(COVID-19)大流行的人工智能(AI)与大数据:技术现状综述

Artificial Intelligence (AI) and Big Data for Coronavirus (COVID-19) Pandemic: A Survey on the State-of-the-Arts.

作者信息

Pham Quoc-Viet, Nguyen Dinh C, Huynh-The Thien, Hwang Won-Joo, Pathirana Pubudu N

机构信息

Research Institute of Computer, Information and CommunicationPusan National University Busan 46241 South Korea.

School of EngineeringDeakin University Waurn Ponds VIC 3216 Australia.

出版信息

IEEE Access. 2020 Jul 15;8:130820-130839. doi: 10.1109/ACCESS.2020.3009328. eCollection 2020.

DOI:10.1109/ACCESS.2020.3009328
PMID:34812339
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC8545324/
Abstract

The very first infected novel coronavirus case (COVID-19) was found in Hubei, China in Dec. 2019. The COVID-19 pandemic has spread over 214 countries and areas in the world, and has significantly affected every aspect of our daily lives. At the time of writing this article, the numbers of infected cases and deaths still increase significantly and have no sign of a well-controlled situation, e.g., as of 13 July 2020, from a total number of around 13.1 million positive cases, 571,527 deaths were reported in the world. Motivated by recent advances and applications of artificial intelligence (AI) and big data in various areas, this paper aims at emphasizing their importance in responding to the COVID-19 outbreak and preventing the severe effects of the COVID-19 pandemic. We firstly present an overview of AI and big data, then identify the applications aimed at fighting against COVID-19, next highlight challenges and issues associated with state-of-the-art solutions, and finally come up with recommendations for the communications to effectively control the COVID-19 situation. It is expected that this paper provides researchers and communities with new insights into the ways AI and big data improve the COVID-19 situation, and drives further studies in stopping the COVID-19 outbreak.

摘要

2019年12月,中国湖北省发现了首例新型冠状病毒感染病例(COVID-19)。COVID-19大流行已蔓延至全球214个国家和地区,对我们日常生活的方方面面都产生了重大影响。在撰写本文时,感染病例数和死亡人数仍在大幅增加,且没有得到有效控制的迹象,例如,截至2020年7月13日,全球约1310万例阳性病例中,报告死亡571527例。受人工智能(AI)和大数据在各个领域的最新进展及应用的启发,本文旨在强调它们在应对COVID-19疫情及预防COVID-19大流行严重影响方面的重要性。我们首先概述AI和大数据,然后确定针对抗击COVID-19的应用,接着突出与现有先进解决方案相关的挑战和问题,最后提出有效控制COVID-19疫情的通信建议。期望本文能为研究人员和相关群体提供关于AI和大数据改善COVID-19疫情状况方式的新见解,并推动在阻止COVID-19疫情爆发方面的进一步研究。

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