Researches and applications of artificial intelligence to mitigate pandemics / edited by Kauser Hameed, Surbhi Bhatia and Syed Tousif Ahmed.

Format:

Book

Contributor:

Hameed, Kauser.

Bhatia, Surbhi, 1988-

Ahmed, Syed Tousif.

Language:

English

Subjects (All):

Disease management--Data processing.

Disease management.

Epidemiology--Statistical methods.

Epidemiology.

COVID-19 (Disease).

Artificial intelligence--Medical applications.

Artificial intelligence.

Genre:

Electronic books.

Physical Description:

1 online resource

Place of Publication:

[Place of publication not identified] : Academic Press, 2021.

System Details:

text file

Summary:

Researches and Applications of Artificial Intelligence to Mitigate Pandemics: History, Diagnostic Tools, Epidemiology, Healthcare, and Technology offers readers an interdisciplinary view of state-of-art research related to the COVID-19 outbreak, with a focus on tactics employed to model the number of cases of COVID-19 (time series modeling), models employed to diagnostics COVID-19 based on images, and the panoramic of COVID-19 since its discovery and up to this book's publication. This book showcases the algorithms and models available to manage pandemic data, the role of AI, IoT and Mathematical Modeling, how to prevent and fight COVID-19, and the existing medical, social and pharmaceutical support. Chapters cover methods and protocols, the basics and history of diseases, the fast diagnosis of disease with different automated algorithms and artificial intelligence tools and techniques, the methods of handling epidemiology for mitigating the spread of disease, artificial intelligence and mathematical modeling techniques, and how mental and physical health is affected with social media usage.

Other Format:

Print version:

ISBN:

9780323899963

032389996X

OCLC:

1249015472

Access Restriction:

Restricted for use by site license.