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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| Other Authors: | , |
| Format: | eBook |
| Language: | English |
| Published: |
Boca Raton, FL :
CRC Press,
2021.
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| Edition: | First edition. |
| Series: | Innovations in Health Informatics and Healthcare.
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| Subjects: | |
| Online Access: | Connect to the full text of this electronic book Connect to the full text of this electronic book |
| 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"-- |
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| Physical Description: | 1 online resource (xv, 305 pages) : color illustrations. |
| Bibliography: | Includes bibliographical references and index. |
| ISBN: | 9781003141105 1003141102 9781000423631 1000423638 9781000423600 1000423603 |