Emerging Technologies for Combatting Pandemics: AI, IoMT, and Analytics

Author:   M. Rubaiyat Hossain Mondal ,  Utku Kose (Suleyman Demirel U., Turkey) ,  V. B. Surya Prasath ,  Prajoy Podder
Publisher:   Taylor & Francis Ltd
ISBN:  

9781032328287


Pages:   290
Publication Date:   25 November 2022
Format:   Hardback
Availability:   In Print   Availability explained
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Emerging Technologies for Combatting Pandemics: AI, IoMT, and Analytics


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Overview

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.

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Author:   M. Rubaiyat Hossain Mondal ,  Utku Kose (Suleyman Demirel U., Turkey) ,  V. B. Surya Prasath ,  Prajoy Podder
Publisher:   Taylor & Francis Ltd
Imprint:   Auerbach
Weight:   0.730kg
ISBN:  

9781032328287


ISBN 10:   1032328282
Pages:   290
Publication Date:   25 November 2022
Audience:   Professional and scholarly ,  Professional & Vocational
Format:   Hardback
Publisher's Status:   Active
Availability:   In Print   Availability explained
This item will be ordered in for you from one of our suppliers. Upon receipt, we will promptly dispatch it out to you. For in store availability, please contact us.

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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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