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.
| ISBN: | 9780323953740 |
| Publication date: | 1st July 2024 |
| Author: | Mohammad Sufian Badar, Nima Rezaei, Hassan Imtiyaz, Jawed Ahmed, Afshar Alam |
| Publisher: | Academic Press an imprint of Elsevier Science |
| Format: | Paperback |
| Pagination: | 325 pages |
| Series: | Developments in Applied Microbiology and Biotechnology |
| Genres: |
Microbiology (non-medical) |