Intelligent Internet of Things for Smart Healthcare Systems
  1. 254 pages
  2. English
  3. ePUB (mobile friendly)
  4. Available on iOS & Android
eBook - ePub
Book details
Table of contents
Citations

About This Book

The book focuses on developments in artificial intelligence (AI) and internet of things (IoT) integration for smart healthcare, with an emphasis on current methodologies and frameworks for the design, growth, implementation, and creative use of such convergence technologies to provide insight into smart healthcare service demands. Concepts like signal recognition, computation, internet of health stuff, and so forth and their applications are covered. Development in connectivity and intelligent networks allowing for social adoption of ambient intelligence is also included.

Features:
•Introduces Intelligent IoT as applicable to the key areas of smart healthcare.
•Discusses computational intelligence and IoT-based optimizations of smart healthcare systems
•Explores effective management of healthcare systems using dedicated IoT-based infrastructures
•Includes dedicated chapters on securing patient's confidential data
•Reviews diagnosis of critical diseases from medical imaging using advanced deep learning-based approaches

This book is aimed at researchers, professionals, and graduate students in intelligent systems, big data, cloud computing, information security, and healthcare systems.

Frequently asked questions

Simply head over to the account section in settings and click on “Cancel Subscription” - it’s as simple as that. After you cancel, your membership will stay active for the remainder of the time you’ve paid for. Learn more here.
At the moment all of our mobile-responsive ePub books are available to download via the app. Most of our PDFs are also available to download and we're working on making the final remaining ones downloadable now. Learn more here.
Both plans give you full access to the library and all of Perlego’s features. The only differences are the price and subscription period: With the annual plan you’ll save around 30% compared to 12 months on the monthly plan.
We are an online textbook subscription service, where you can get access to an entire online library for less than the price of a single book per month. With over 1 million books across 1000+ topics, we’ve got you covered! Learn more here.
Look out for the read-aloud symbol on your next book to see if you can listen to it. The read-aloud tool reads text aloud for you, highlighting the text as it is being read. You can pause it, speed it up and slow it down. Learn more here.
Yes, you can access Intelligent Internet of Things for Smart Healthcare Systems by Durgesh Srivastava, Neha Sharma, Deepak Sinwar, Jabar H. Yousif, Hari Prabhat Gupta, Durgesh Srivastava, Neha Sharma, Deepak Sinwar, Jabar H. Yousif, Hari Prabhat Gupta in PDF and/or ePUB format, as well as other popular books in Computer Science & Computer Science General. We have over one million books available in our catalogue for you to explore.

Information

Publisher
CRC Press
Year
2023
ISBN
9781000834987
Edition
1

Table of contents

  1. Cover
  2. Half Title
  3. Series Page
  4. Title Page
  5. Copyright Page
  6. Table of Contents
  7. Editors
  8. List of Contributors
  9. Preface
  10. Chapter 1 Internet of Things in Smart and Intelligent Healthcare Systems
  11. Chapter 2 Applications of i-IoT for Smart Healthcare Systems
  12. Chapter 3 Technological Shift of the Healthcare System Using IoT
  13. Chapter 4 IoT-Based Healthcare System: Cloud Data Governance
  14. Chapter 5 Information Security and Data Management for IoT Smart Healthcare
  15. Chapter 6 AI-Assisted Big Data Analytics for Smart Healthcare Systems
  16. Chapter 7 Cloud Computing-Assisted Real-Time Health Monitoring and Tracking
  17. Chapter 8 Supervision of Worldwide Healthcare through an IoT-Based System
  18. Chapter 9 Semantic Similarity Based on Association Measurement
  19. Chapter 10 IoT: Emerging Approach for Pharmaceutical and Healthcare Systems
  20. Chapter 11 Blockchain Technology Effects on Healthcare Systems Using the IoT
  21. Chapter 12 Deep Learning Approach for Classification of Alzheimer’s Disease
  22. Chapter 13 Plant Disease Identification Using Convolution Neural Networks
  23. Chapter 14 Study of Health Quality Coinciding with the Handwriting Process
  24. Chapter 15 E-Nose Sensor Applications and Challenges in the Health Sector
  25. Index