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Intelligent Computing Applications for COVID-19: Predictions, Diagnosis, and Prevention

Edited by Tanzila Saba, Edited by Amjad Rehman Khan

| on special |

normal price: R 2 384.95

Price: R 2 265.95


| book description |

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.

| product details |



Normally shipped | This title will be printed on demand for your order. Delivery will be 6 weeks or less.
Publisher | Taylor & Francis Ltd
Published date | 4 Oct 2024
Language |
Format | Paperback / softback
Pages | 344
Dimensions | 234 x 156 x 0mm (L x W x H)
Weight | 500g
ISBN | 978-0-3676-9248-3
Readership Age |
BISAC | technology / engineering / general


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Normally shipped | Available from overseas. Usually dispatched in 14 days
Readership Age |
Normal Price | R 2 844.95
Price | R 2 702.95 | on special |



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