eBook - ePub
Cognitive Computing for Internet of Medical Things
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- 218 pages
- English
- ePUB (mobile friendly)
- Available on iOS & Android
eBook - ePub
Cognitive Computing for Internet of Medical Things
Book details
Table of contents
Citations
About This Book
Cognitive Computing for Internet of Medical Things (IoMT) offers a complete assessment of the present scenario, role, challenges, technologies, and impact of IoMT-enabled smart healthcare systems. It contains chapters discussing various biomedical applications under the umbrella of the IoMT.
Key Features
- Exploits the different prospects of cognitive computing techniques for the IoMT and smart healthcare applications
- Addresses the significance of IoMT and cognitive computing in the evolution of intelligent medical systems for biomedical applications
- Describes the different computing techniques of cognitive intelligent systems from a practical point of view: solving common life problems
- Explores the technologies and tools to utilize IoMT for the transformation and growth of healthcare systems
- Focuses on the economic, social, and environmental impact of IoMT-enabled smart healthcare systems
This book is primarily aimed at graduates, researchers and academicians working in the area of development of the application of the of the application of the IoT in smart healthcare. Industry professionals will also find this book helpful.
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Yes, you can access Cognitive Computing for Internet of Medical Things by A Prasanth, Lakshmi D, Rajesh Kumar Dhanaraj, Balamurugan Balusamy, Sherimon P C, A Prasanth,Lakshmi D,Rajesh Kumar Dhanaraj,Balamurugan Balusamy,Sherimon P C in PDF and/or ePUB format, as well as other popular books in Computer Science & Cloud Computing. We have over one million books available in our catalogue for you to explore.
Information
Table of contents
- Cover
- Half Title
- Title Page
- Copyright Page
- Table of Contents
- Preface
- Editors
- List of Contributors
- 1. Toward the Internet of Things and Its Applications: A Review on Recent Innovations and Challenges
- 2. Introduction to Cognitive Computing
- 3. IoT with 5G in Healthcare Systems
- 4. Communication Protocols for IoMT-Based Healthcare Systems
- 5. Security and Privacy of Biomedical Data in IoMT
- 6. Cyber-Security Threats to IoMT-Enabled Healthcare Systems
- 7. Using Self-Organizing Map to Find Cardiac Risk Based on Body Mass Index
- 8. Embedded Medical IoT Devices for Monitoring and Diagnosing Patient Health in Rural Areas Peoples Using IoMT Technology
- 9. Case Studies: Cancer Prediction and Diagnosis in the IoMT Environment
- 10. A Deep Exploration of Imaging Diagnosis Approaches for IoMT-Based Coronavirus Disease of 2019 Diagnosis System â A Case Study
- Index