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



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Academic Press


Paru le : 2024-07-17



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Description

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.Describes the molecular basis of pathogenesis, epidemiology, transmission mechanism, diagnostic approaches, and the mutational landscape of SARS-CoV-2Provides insights into post COVID-19 symptoms and consequencesDemonstrates how machine learning, AI, and IoT is used to diagnose and fight COVID-19 infectionExamines the use of Blockchain technology/IoT and interpretation and validation of data obtained from artificial intelligence

Elsevier Science & Technology
Pages
325 pages
Collection
n.c
Parution
2024-07-17
Marque
Academic Press
EAN papier
9780323953740
EAN PDF
9780323953733
Informations sur l'ebook
Nombre pages copiables
32
Nombre pages imprimables
32
Taille du fichier
6431 Ko
Ce livre est accessible aux handicaps Voir les informations sur l'accessibilité
Prix
163,52 €
EAN EPUB SANS DRM
9780323953733
Informations sur l'ebook
Ce livre est accessible aux handicaps Voir les informations sur l'accessibilité
Prix
163,52 €

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