Intelligent IoT Systems in Personalized Health Care
eBook - ePub

Intelligent IoT Systems in Personalized Health Care

  1. 360 pages
  2. English
  3. ePUB (mobile friendly)
  4. Available on iOS & Android
eBook - ePub

Intelligent IoT Systems in Personalized Health Care

Book details
Table of contents
Citations

About This Book

Intelligent IoT Systems in Personalized Health Care delivers a significant forum for the technical advancement of IoMT learning in parallel computing environments across biomedical engineering diversified domains and its applications. Pursuing an interdisciplinary approach, the book focuses on methods used to identify and acquire valid, potentially useful knowledge sources. The book presents novel, in-depth, fundamental research contributions from a methodological/application perspective to help readers understand the fusion of AI with IoT and its capabilities in solving a diverse range of problems for biomedical engineering and its real-world personalized health care applications.

The book is well suited for researchers exploring the significance of IoT based architecture to perform predictive analytics of user activities in sustainable health.

  • Presents novel, in-depth, fundamental research contributions from a methodological/application perspective to help readers understand the fusion of AI with IoT
  • Illustrates state-of-the-art developments in new theories and applications of IoMT techniques as applied to parallel computing environments in biomedical engineering systems
  • Presents concepts and technologies successfully used in the implementation of today's intelligent data-centric IoT systems and Edge-Cloud-Big data

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Yes, you can access Intelligent IoT Systems in Personalized Health Care by Arun Kumar Sangaiah,Subhas Chandra Mukhopadhyay in PDF and/or ePUB format, as well as other popular books in Technology & Engineering & Engineering General. We have over one million books available in our catalogue for you to explore.

Information

Publisher
Academic Press
Year
2020
ISBN
9780128232040
Topic
Technology & Engineering
Subtopic
Engineering General
Index
Technology & Engineering

Table of contents

  1. Cover image
  2. Title page
  3. Table of Contents
  4. Copyright
  5. Contributors
  6. Foreword
  7. Preface
  8. Acknowledgments
  9. Chapter One: Combining IoT architectures in next generation healthcare computing systems
  10. Chapter Two: RFID-based unsupervised apnea detection in health care system
  11. Chapter Three: Designing a cooperative hierarchical model of interdiction median problem with protection and its solution approach: A case study of health-care network
  12. Chapter Four: Parallel machine learning and deep learning approaches for internet of medical things (IoMT)
  13. Chapter Five: Cloud-based IoMT framework for cardiovascular disease prediction and diagnosis in personalized E-health care
  14. Chapter Six: A study on security privacy issues and solutions in internet of medical thingsā€”A review
  15. Chapter Seven: Application of computational intelligence models in IoMT big data for heart disease diagnosis in personalized health care
  16. Chapter Eight: An improved canny detection method for detecting human flexibility
  17. Chapter Nine: Prediction and classification of diabetes mellitus using genomic data
  18. Chapter Ten: An application of cypher query-based dynamic rule-based decision tree over suicide statistics dataset with Neo4j
  19. Chapter Eleven: Exploring the possibilities of security and privacy issues in health-care IoT
  20. Subject Index