Diagnosis and Analysis of COVID-19 using Artificial Intelligence and Machine Learning-Based Techniques

Afshar Alam editor Nima Rezaei editor Jawed Ahmed editor Mohammad Sufian Badar editor Hassan Imtiyaz editor

Format:Paperback

Publisher:Elsevier Science & Technology

Published:30th Jul '24

£134.00

Supplier delay - available to order, but may take longer than usual.

Diagnosis and Analysis of COVID-19 using Artificial Intelligence and Machine Learning-Based Techniques cover

Diagnosis and Analysis of COVID-19 using Artificial Intelligence and Machine Learning-Based Techniques offers new insights and demonstrates how machine learning (ML), artificial intelligence (AI), and (Internet of Things (IoT) can be used to diagnose and fight COVID-19 infection. Sections also discuss the challenges we face in using these technologies. Chapters cover pathogenesis, transmission, diagnosis, and treatment strategies for COVID-19, Artificial Intelligence and Machine Learning, and Blockchain /IoT Blockchain technology, examining how AI can be applied as a tool for detection and containment of the spread of COVID-19, and on the socioeconomic and educational post-pandemic impacts of the disease. This is a multidisciplinary resource for those engaged in researching COVID-19 and how emerging technologies are being used as tools for detection, transmission and treatment strategies.

ISBN: 9780323953740

Dimensions: unknown

Weight: 450g

426 pages