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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 - Developments in Applied Microbiology and Biotechnology

Paperback (30 Jul 2024)

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Publisher's Synopsis

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.

Book information

ISBN: 9780323953740
Publisher: Elsevier Science
Imprint: Academic Press
Pub date:
DEWEY: 614.5924144
DEWEY edition: 23
Language: English
Number of pages: 325
Weight: 450g
Height: 235mm
Width: 191mm