Title: Emerging Technologies for Combatting Pandemics : Ai, IoMT, and Analytics
Publisher: Auerbach Publications
Publication Date: 2022
Language: English
ISBN 10: 1032328282
ISBN 13: 9781032328287
Binding: Hardcover
Condition: As New

About this title

Synopsis

The COVID-19 pandemic has significantly affected the healthcare sector across the globe. Artificial Intelligence (AI) and the Internet of Medical Things (IoMT) play important roles when dealing with emerging challenges. These technologies are being applied to problems involving the early detection of infections, fast contact tracing, decision-making models, risk profiling of cohorts, and remote treatment. Applying these technologies runs against challenges including interoperability, lack of unified structure for eHealth, and data privacy and security. Emerging Technologies for Combatting Pandemics: AI, IoMT, and Analytics examines multiple models and solutions for various settings including individual, home, work, and society. The world’s healthcare systems are battling the novel coronavirus, and government authorities, scientists, medical practitioners, and medical services are striving hard to surmount these challenges.

This book focuses on the design and implementation of AI-based approaches in the proposed COVID-19 solutions that are enabled and supported by IoMT, sensor networks, cloud and edge computing, robotics, and analytics. It covers technologies under the umbrella of AI that include data science, big data, machine learning (ML), semantic technologies, analytics, and cyber security.

Highlights of the book include:

Epidemic forecasting models
Surveillance and tracking systems
IoMT and Internet of Healthcare Things-based integrated systems for COVID-19
Social network analysis systems
Radiological image- based diagnosis systems
Computational intelligence methods

This reference work is beneficial for interdisciplinary students, researchers, and healthcare and technology professionals who need to know how computational intelligence could be used for surveillance, control, prevention, prediction, diagnosis, and potential treatment of the disease.

About the Author

Dr. M. Rubaiyat Hossain Mondal is a Professor in the Institute of Information and Communication Technology (IICT) at Bangladesh University of Engineering and Technology (BUET), Bangladesh.

Dr. Utku Kose is an Associate Professor in Suleyman Demirel University, Turkey.

Dr. Surya Prasath is a mathematician with expertise in the application areas of image processing and computer vision.

Dr. Prajoy Podder is a researcher at the Institute of Information and Communication Technology, Bangladesh University of Engineering and Technology.

Dr. Subrato Bharati is a researcher at the Institute of Information and Communication Technology, Bangladesh University of Engineering and Technology.

Dr. Joarder Kamruzzaman is a Professor at the School of Engineering, Information Technology and Physical Sciences, Federation University, Australia.

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