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Diagnosis and Analysis of Covid-19 Using Artificial Intelligence and Machine Learning-Based Techniques Publisher



M Badar Mohammad SUFIAN ; N Rezaei NIMA ; H Imtiyaz HASSAN ; J Ahmad JAVED ; A Alam AFSHAR
Authors

Source: Published:2024


Abstract

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. © 2024 Elsevier B.V., All rights reserved.
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