Autores
Amjad - Maaz
Sidorov Grigori
Gelbukh Alexander
Título Analysis of COVID-19 Pandemic Using Artificial Intelligence
Tipo Congreso
Sub-tipo Memoria
Descripción 19th Mexican International Conference on Artificial Intelligence, MICAI 2020
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. © 2020, Springer Nature Switzerland AG.
Observaciones DOI 10.1007/978-3-030-60887-3_6 Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), v. 12469
Lugar Ciudad de México
País Mexico
No. de páginas 65-73
Vol. / Cap. 12469 LNAI
Inicio 2020-10-12
Fin 2020-10-17
ISBN/ISSN 9783030608866