Analysis of COVID-19 Pandemic Using Artificial Intelligence

被引：2

作者：

Amjad, Maaz ^{[1
]}

Rodriguez Chavez, Yuriria ^{[2
]}

Nayab, Zaryyab ^{[3
]}

Zhila, Alisa

Sidorov, Grigori ^{[1
]}

Gelbukh, Alexander ^{[1
]}

机构：

[1] Inst Politecn Nacl IPN, Ctr Comp Res CIC, Mexico City, DF, Mexico

[2] Inst Mexicano Seguro Social, IMSS, Mexico City, DF, Mexico

[3] Univ Vet & Anim Sci, Kasur, Pakistan

来源：

ADVANCES IN COMPUTATIONAL INTELLIGENCE, MICAI 2020, PT II | 2020年 / 12469卷

关键词：

Pandemics; COVID-19; Artificial intelligence; SARS-CoV-2;

D O I：

10.1007/978-3-030-60887-3_6

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

The emerging issue of COVID-19, which is caused by the coronavirus SARS-CoV-2 is a significant problematic issue. This disease has impacted worldwide and covered the globe in its threat. Scientists and physicians have been investigating pathophysiological aspects of this pandemic to understand the virus structure for the treatment development. In this mini review, we briefly discuss the characteristics of SARS-CoV-2, its origin, diagnosis, and treatment. This study will provide an understanding of the role of artificial intelligence in this emerging COVID-19 pandemic along with the impact in our society, economy, health, and industrial level.

引用

页码：65 / 73

页数：9

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