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

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.

General

Imprint:	Academic Press Inc
Country of origin:	United Kingdom
Series:	Developments in Applied Microbiology and Biotechnology
Release date:	February 2024
First published:	2023
Editors:	Mohammad Sufian Badar • Nima Rezaei • Hassan Imtiyaz • Jawed Ahmed • Afshar Alam
Dimensions:	235 x 191mm (L x W)
Format:	Paperback
Pages:	325
ISBN-13:	978-0-323-95374-0
Categories:	Books
LSN:	0-323-95374-3
Barcode:	9780323953740

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