Using artificial intelligence technology to fight COVID-19: a review

被引:0
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作者
Yong Peng
Enbin Liu
Shanbi Peng
Qikun Chen
Dangjian Li
Dianpeng Lian
机构
[1] Southwest Petroleum University,Petroleum Engineering School
[2] Southwest Petroleum University,School of Civil Engineering and Geomatics
[3] Cardiff University,School of Engineering
来源
关键词
Artificial intelligence; COVID-19; Epidemic prevention and control; Internet of Things; Cloud computing; Blockchain;
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学科分类号
摘要
In late December 2019, a new type of coronavirus was discovered, which was later named severe acute respiratory syndrome coronavirus 2(SARS-CoV-2). Since its discovery, the virus has spread globally, with 2,975,875 deaths as of 15 April 2021, and has had a huge impact on our health systems and economy. How to suppress the continued spread of new coronary pneumonia is the main task of many scientists and researchers. The introduction of artificial intelligence technology has provided a huge contribution to the suppression of the new coronavirus. This article discusses the main application of artificial intelligence technology in the suppression of coronavirus from three major aspects of identification, prediction, and development through a large amount of literature research, and puts forward the current main challenges and possible development directions. The results show that it is an effective measure to combine artificial intelligence technology with a variety of new technologies to predict and identify COVID-19 patients.
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页码:4941 / 4977
页数:36
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