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Diagnosis and Analysis of COVID-19 using Artificial Intelligence and Machine Learning-Based Techniques
Diagnosis and Analysis of COVID-19 using Artificial Intelligence and Machine Learning-Based Techniques
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- More about Diagnosis and Analysis of COVID-19 using Artificial Intelligence and Machine Learning-Based Techniques
Artificial Intelligence and Machine Learning-Based Techniques offer new insights and demonstrate how machine learning, artificial intelligence, and the Internet of Things can be used to diagnose and fight COVID-19 infection, with chapters covering pathogenesis, transmission, diagnosis, and treatment strategies. Blockchain technology is also examined, exploring how AI can be applied as a tool for detection and containment of the spread of COVID-19 and the socioeconomic and educational post-pandemic impacts of the disease.
Format: Paperback / softback
Length: 426 pages
Publication date: 25 July 2024
Publisher: Elsevier Science & Technology
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 the 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.
Dimension: 235 x 191 (mm)
ISBN-13: 9780323953740
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