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Applications of artificial intellige...

Nandan Mohanty, Sachi.

Applications of artificial intelligence in Covid-19

Record Type:	Electronic resources : Monograph/item
Title/Author:	Applications of artificial intelligence in Covid-19edited by Sachi Nandan Mohanty ... [et al.].
other author:	Nandan Mohanty, Sachi.
Published:	Singapore :Springer Singapore :2021.
Description:	xx, 595 p. :ill., digital ;24 cm.
Contained By:	Springer Nature eBook
Subject:	Artificial intelligenceMedical applications.
Online resource:	https://doi.org/10.1007/978-981-15-7317-0
ISBN:	9789811573170$q(electronic bk.)

Applications of artificial intelligence in Covid-19
Applications of artificial intelligence in Covid-19[electronic resource] /edited by Sachi Nandan Mohanty ... [et al.]. - Singapore :Springer Singapore :2021. - xx, 595 p. :ill., digital ;24 cm. - Medical virology,2662-9828. - Medical virology..

The book examines the role of artificial intelligence during the COVID-19 pandemic, including its application in i) early warnings and alerts, ii) tracking and prediction, iii) data dashboards, iv) diagnosis and prognosis, v) treatments, and cures, and vi) social control. It explores the use of artificial intelligence in the context of population screening and assessing infection risks, and presents mathematical models for epidemic prediction of COVID-19. Furthermore, the book discusses artificial intelligence-mediated diagnosis, and how machine learning can help in the development of drugs to treat the disease. Lastly, it analyzes various artificial intelligence-based models to improve the critical care of COVID-19 patients.

ISBN: 9789811573170$q(electronic bk.)

Standard No.: 10.1007/978-981-15-7317-0doiSubjects--Topical Terms:

237917
Artificial intelligence
--Medical applications.

LC Class. No.: R859.7.A78

Dewey Class. No.: 610.28563

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520 $a The book examines the role of artificial intelligence during the COVID-19 pandemic, including its application in i) early warnings and alerts, ii) tracking and prediction, iii) data dashboards, iv) diagnosis and prognosis, v) treatments, and cures, and vi) social control. It explores the use of artificial intelligence in the context of population screening and assessing infection risks, and presents mathematical models for epidemic prediction of COVID-19. Furthermore, the book discusses artificial intelligence-mediated diagnosis, and how machine learning can help in the development of drugs to treat the disease. Lastly, it analyzes various artificial intelligence-based models to improve the critical care of COVID-19 patients.
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