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

Edited by Mohammad Sufian (Senior Teaching Faculty, Department of Bioengineering, University of Califor Badar, Nima Rezaei, Hassan (Assistant Professor, Premier Central University, Jamia Millia Islamia (JMI), New De Imtiyaz, Jawed (Department of Computer Science and Engineering, Hamdard University, Delhi, India) Ahmed, Afshar (Vice- Chancellor and Professor and Dean of School of Engineering Sciences and Technolo Alam

Part of the Developments in Applied Microbiology and Biotechnology series

Paperback / softback

Coming Soon

Description
Information
Other Formats

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.