Jawed Ahmed & Afshar Alam 
Diagnosis and Analysis of COVID-19 using Artificial Intelligence and Machine Learning-Based Techniques [EPUB ebook] 

Support

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 (Io T) 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 /Io T 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-Co V-2- Provides insights into post COVID-19 symptoms and consequences- Demonstrates how machine learning, AI, and Io T is used to diagnose and fight COVID-19 infection- Examines the use of Blockchain technology/Io T and interpretation and validation of data obtained from artificial intelligence

€172.45
payment methods
Buy this ebook and get 1 more FREE!
Language English ● Format EPUB ● ISBN 9780323953733 ● Editor Jawed Ahmed & Afshar Alam ● Publisher Elsevier Science ● Published 2024 ● Downloadable 3 times ● Currency EUR ● ID 9557979 ● Copy protection Adobe DRM
Requires a DRM capable ebook reader

More ebooks from the same author(s) / Editor

37,585 Ebooks in this category