Analysis of COVID-19 Pandemic Using Artificial Intelligence

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

Producción científica: Capítulo del libro/informe/acta de congresoContribución a la conferenciarevisión exhaustiva

2 Citas (Scopus)

Resumen

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.

Idioma originalInglés
Título de la publicación alojadaAdvances in Computational Intelligence - 19th Mexican International Conference on Artificial Intelligence, MICAI 2020, Proceedings
EditoresLourdes Martínez-Villaseñor, Hiram Ponce, Oscar Herrera-Alcántara, Félix A. Castro-Espinoza
EditorialSpringer Science and Business Media Deutschland GmbH
Páginas65-73
Número de páginas9
ISBN (versión impresa)9783030608866
DOI
EstadoPublicada - 2020
Evento19th Mexican International Conference on Artificial Intelligence, MICAI 2020 - Mexico City, México
Duración: 12 oct. 202017 oct. 2020

Serie de la publicación

NombreLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volumen12469 LNAI
ISSN (versión impresa)0302-9743
ISSN (versión digital)1611-3349

Conferencia

Conferencia19th Mexican International Conference on Artificial Intelligence, MICAI 2020
País/TerritorioMéxico
CiudadMexico City
Período12/10/2017/10/20

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