Intelligent computing applications for COVID-19 : predictions, diagnosis, and prevention /

"Accurate estimation, diagnosis, and prevention of COVID-19 is a global challenge for healthcare organizations. Innovative measures can introduce and implement AI, and Mathematical Modeling applications. This book provides insight into the recent advances of applications, statistical methods, a...

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Bibliographic Details
Other Authors: Saba, Tanzila (Editor), Khan, Amjad Rehman (Editor)
Format: eBook
Language:English
Published: Boca Raton, FL : CRC Press, 2021.
Edition:First edition.
Series:Innovations in health informatics and healthcare : using artificial intelligence and smart computing
Subjects:
Online Access:Connect to the full text of this electronic book
Description
Summary:"Accurate estimation, diagnosis, and prevention of COVID-19 is a global challenge for healthcare organizations. Innovative measures can introduce and implement AI, and Mathematical Modeling applications. This book provides insight into the recent advances of applications, statistical methods, and mathematical modeling for the healthcare industry. This book covers the state-of-the-art applications of AI and Machine Learning in past epidemics, pandemics, and COVID-19. It offers recent global case studies, and discusses how AI and statistical methods, initiatives, and applications such as Machine Learning, Deep Learning, Correlation and Regression Analysis play a major role in the prediction, diagnosis, and prevention of a pandemic. It will also focus on how AI and statistical applications can facilitate and restructure the healthcare system. This book is written for Researchers, Students, Professionals, Executives, and the general public"--
Physical Description:1 online resource (xv, 305 pages) : color illustrations.
Bibliography:Includes bibliographical references and index.
ISBN:9781003141105
1003141102
9781000423631
1000423638
9781000423600
1000423603