Analysis of COVID-19 Pandemic Using Artificial Intelligence

Maaz Amjad; Yuriria Rodriguez Chavez; Zaryyab Nayab; Alisa Zhila; Grigori Sidorov; Alexander Gelbukh

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

Analysis of COVID-19 Pandemic Using Artificial Intelligence

Maaz Amjad, Yuriria Rodriguez Chavez, Zaryyab Nayab, Alisa Zhila, Grigori Sidorov, Alexander Gelbukh

Centro de Investigación en Computación (CIC)

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

2 Scopus citations

Abstract

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.

Original language	English
Title of host publication	Advances in Computational Intelligence - 19th Mexican International Conference on Artificial Intelligence, MICAI 2020, Proceedings
Editors	Lourdes Martínez-Villaseñor, Hiram Ponce, Oscar Herrera-Alcántara, Félix A. Castro-Espinoza
Publisher	Springer Science and Business Media Deutschland GmbH
Pages	65-73
Number of pages	9
ISBN (Print)	9783030608866
DOIs	https://doi.org/10.1007/978-3-030-60887-3_6
State	Published - 2020
Event	19th Mexican International Conference on Artificial Intelligence, MICAI 2020 - Mexico City, Mexico Duration: 12 Oct 2020 → 17 Oct 2020

Publication series

Name	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume	12469 LNAI
ISSN (Print)	0302-9743
ISSN (Electronic)	1611-3349

Conference

Conference	19th Mexican International Conference on Artificial Intelligence, MICAI 2020
Country/Territory	Mexico
City	Mexico City
Period	12/10/20 → 17/10/20

Keywords

Artificial intelligence
COVID-19
Pandemics
SARS-CoV-2

Access to Document

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

Cite this

Amjad, M., Chavez, Y. R., Nayab, Z., Zhila, A., Sidorov, G., & Gelbukh, A. (2020). Analysis of COVID-19 Pandemic Using Artificial Intelligence. In L. Martínez-Villaseñor, H. Ponce, O. Herrera-Alcántara, & F. A. Castro-Espinoza (Eds.), Advances in Computational Intelligence - 19th Mexican International Conference on Artificial Intelligence, MICAI 2020, Proceedings (pp. 65-73). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 12469 LNAI). Springer Science and Business Media Deutschland GmbH. https://doi.org/10.1007/978-3-030-60887-3_6

Amjad, Maaz ; Chavez, Yuriria Rodriguez ; Nayab, Zaryyab et al. / Analysis of COVID-19 Pandemic Using Artificial Intelligence. Advances in Computational Intelligence - 19th Mexican International Conference on Artificial Intelligence, MICAI 2020, Proceedings. editor / Lourdes Martínez-Villaseñor ; Hiram Ponce ; Oscar Herrera-Alcántara ; Félix A. Castro-Espinoza. Springer Science and Business Media Deutschland GmbH, 2020. pp. 65-73 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)).

@inproceedings{67759c713dff47acb1e8f39773318727,

title = "Analysis of COVID-19 Pandemic Using Artificial Intelligence",

abstract = "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.",

keywords = "Artificial intelligence, COVID-19, Pandemics, SARS-CoV-2",

author = "Maaz Amjad and Chavez, {Yuriria Rodriguez} and Zaryyab Nayab and Alisa Zhila and Grigori Sidorov and Alexander Gelbukh",

note = "Publisher Copyright: {\textcopyright} 2020, Springer Nature Switzerland AG.; 19th Mexican International Conference on Artificial Intelligence, MICAI 2020 ; Conference date: 12-10-2020 Through 17-10-2020",

year = "2020",

doi = "10.1007/978-3-030-60887-3_6",

language = "Ingl{\'e}s",

isbn = "9783030608866",

series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",

publisher = "Springer Science and Business Media Deutschland GmbH",

pages = "65--73",

editor = "Lourdes Mart{\'i}nez-Villase{\~n}or and Hiram Ponce and Oscar Herrera-Alc{\'a}ntara and Castro-Espinoza, {F{\'e}lix A.}",

booktitle = "Advances in Computational Intelligence - 19th Mexican International Conference on Artificial Intelligence, MICAI 2020, Proceedings",

address = "Alemania",

}

Amjad, M, Chavez, YR, Nayab, Z, Zhila, A, Sidorov, G & Gelbukh, A 2020, Analysis of COVID-19 Pandemic Using Artificial Intelligence. in L Martínez-Villaseñor, H Ponce, O Herrera-Alcántara & FA Castro-Espinoza (eds), Advances in Computational Intelligence - 19th Mexican International Conference on Artificial Intelligence, MICAI 2020, Proceedings. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 12469 LNAI, Springer Science and Business Media Deutschland GmbH, pp. 65-73, 19th Mexican International Conference on Artificial Intelligence, MICAI 2020, Mexico City, Mexico, 12/10/20. https://doi.org/10.1007/978-3-030-60887-3_6

Analysis of COVID-19 Pandemic Using Artificial Intelligence. / Amjad, Maaz; Chavez, Yuriria Rodriguez; Nayab, Zaryyab et al.
Advances in Computational Intelligence - 19th Mexican International Conference on Artificial Intelligence, MICAI 2020, Proceedings. ed. / Lourdes Martínez-Villaseñor; Hiram Ponce; Oscar Herrera-Alcántara; Félix A. Castro-Espinoza. Springer Science and Business Media Deutschland GmbH, 2020. p. 65-73 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 12469 LNAI).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

TY - GEN

T1 - Analysis of COVID-19 Pandemic Using Artificial Intelligence

AU - Amjad, Maaz

AU - Chavez, Yuriria Rodriguez

AU - Nayab, Zaryyab

AU - Zhila, Alisa

AU - Sidorov, Grigori

AU - Gelbukh, Alexander

PY - 2020

Y1 - 2020

N2 - 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.

AB - 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.

KW - Artificial intelligence

KW - COVID-19

KW - Pandemics

KW - SARS-CoV-2

UR - http://www.scopus.com/inward/record.url?scp=85092914133&partnerID=8YFLogxK

U2 - 10.1007/978-3-030-60887-3_6

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

M3 - Contribución a la conferencia

AN - SCOPUS:85092914133

SN - 9783030608866

T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

SP - 65

EP - 73

BT - Advances in Computational Intelligence - 19th Mexican International Conference on Artificial Intelligence, MICAI 2020, Proceedings

A2 - Martínez-Villaseñor, Lourdes

A2 - Ponce, Hiram

A2 - Herrera-Alcántara, Oscar

A2 - Castro-Espinoza, Félix A.

PB - Springer Science and Business Media Deutschland GmbH

T2 - 19th Mexican International Conference on Artificial Intelligence, MICAI 2020

Y2 - 12 October 2020 through 17 October 2020

ER -

Amjad M, Chavez YR, Nayab Z, Zhila A, Sidorov G , Gelbukh A. Analysis of COVID-19 Pandemic Using Artificial Intelligence. In Martínez-Villaseñor L, Ponce H, Herrera-Alcántara O, Castro-Espinoza FA, editors, Advances in Computational Intelligence - 19th Mexican International Conference on Artificial Intelligence, MICAI 2020, Proceedings. Springer Science and Business Media Deutschland GmbH. 2020. p. 65-73. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)). doi: 10.1007/978-3-030-60887-3_6

Analysis of COVID-19 Pandemic Using Artificial Intelligence

Abstract

Publication series

Conference

Keywords

Access to Document

Other files and links

Fingerprint

Cite this