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The Fusion of Internet of Things, Artificial Intelligence, and Cloud Computing in Health Care, 1st ed. 2021 Internet of Things Series

Langue : Anglais
Couverture de l’ouvrage The Fusion of Internet of Things, Artificial Intelligence, and Cloud Computing in Health Care

This book reviews the convergence technologies like cloud computing, artificial intelligence (AI) and Internet of Things (IoT) in healthcare and how they can help all stakeholders in the healthcare sector. The book is a proficient guide on the relationship between AI, IoT and healthcare and gives examples into how IoT is changing all aspects of the healthcare industry. Topics include remote patient monitoring, the telemedicine ecosystem, pattern imaging analytics using AI, disease identification and diagnosis using AI, robotic surgery, prediction of epidemic outbreaks, and more. The contributors include applications and case studies across all areas of computational intelligence in healthcare data. The authors also include workflow in IoT-enabled healthcare technologies and explore privacy and security issues in healthcare-based IoT.

Introduction.- Remote Patient Monitoring Using IoT, Cloud Computing and AI.- The Internet of M-Health Things (m-IoT).- Healthcare Data Storage Options Using Cloud.- Cloud-based telemedicine ecosystem and adoption of AI.- The benefits and risks of Integrating IoT, AI in cloud services for healthcare.- Pattern Imaging Analytics using Artificial Intelligence techniques.- Identifying Diseases and Diagnosis using Artificial Intelligence.- Robotic Surgery.- Personalized Treatment with the help of IoT Artificial Intelligence and cloud.- Predicting Epidemic Outbreaks using IoT Artificial Intelligence and Cloud.- Crowd sourced Data Collection.- Maintaining Healthcare Records using Cloud storage.- Privacy and Security issues in health care based IoT.- IoT Healthcare Applications.- Applications of AI, IoT and Cloud computing in battling COVID-19.- Intelligent Health Informatics for Handling the COVID-19 Situation.- Conclusion.

Patrick Siarry is a Professor of Automatics and Informatics at the University of Paris-Est Créteil, where he leads the Image and Signal Processing team in the Laboratoire Images, Signaux et SystèmesIntelligents (LiSSi). He has considerable teaching, research and writing experience in the areas of signal processing, control, artificial intelligence, operations research, and optimization. He presently serves as an Associate Editor of the journal Information Sciences and the journal Engineering Applications of Artificial Intelligence.

Dr. MA.Jabbar  is a Professor at the Computer Science and Engineering Department, Vardhaman College of Engineering, Hyderabad, Telangana, India. Jawaharlal Nehru Technological University, Hyderabad awarded him a doctoral degree for his work in Data Mining, a specialization of Computer Science. He has been teaching for 17 years at various places in and around Telangana. He has a lifetime membership in technical bodies like the Indian Science Congress Association and the Computer Society of India. He is a senior member of IEEE (International) and and the Asia Pacific Institute of Science and Engineering(APISE) and also took onto his shoulders the responsibility of being the secretary of the IEEE Computer Society (Hyderabad).  He has published more than 30 international papers in various journals and has read his papers at various conferences. He is a reviewer for many technical journal publishing and distributing organizations like Springer, Elsevier, and IEEE Transactions on Systems Man and Cybernetics, Wiley, Sci Indexed journals. He has served as a technical committee member for more than 20 international conferences. His research interests include various areas of Computer Science like Data Mining, Big Data Analytics, Bio Informatics, Cyber Security, Machine Learning, Attack Graphs, and Intrusion Detection Systems. He obtained his Doctor of Philosophy (Ph.D.) and Master of Technology (M.Tech.) in Computer Science and

Covers concepts of artificial intelligence and applications of computational intelligence, IoT and cloud computing in medical domain

Discusses how the fusion of Internet of Things, AI and cloud computing help in diagnosis, prediction, and storage of medical records in health care domain

Includes case studies throughout on applications of computational intelligence in healthcare data

Date de parution :

Ouvrage de 268 p.

15.5x23.5 cm

Disponible chez l'éditeur (délai d'approvisionnement : 15 jours).

168,79 €

Ajouter au panier

Date de parution :

Ouvrage de 268 p.

15.5x23.5 cm

Disponible chez l'éditeur (délai d'approvisionnement : 15 jours).

168,79 €

Ajouter au panier