Advances in Fuzzy-Based Internet of Medical Things (IoMT)
eBook - PDF

Advances in Fuzzy-Based Internet of Medical Things (IoMT)

  1. English
  2. PDF
  3. Available on iOS & Android
eBook - PDF

Advances in Fuzzy-Based Internet of Medical Things (IoMT)

About this book

ADVANCES IN FUZZY-BASED INTERNET OF MEDICAL THINGS (IOMT)

This book explores the latest trends, transitions, and advancements of the Internet of Medical Things whose integration through cloud-hosted software applications adds required intelligence from tools such as medical instruments, scanners, and appliances, enabling fuzzy logic to help medical professionals establish linguistic concepts in deciding diagnosis and prognosis.

The main goal of the book is to strengthen medical professionals and caregivers by providing methods for achieving fuzzy logic-based health diagnosis and medication. The health condition and various physical parameters of humans, such as heartbeat rate, sugar level, blood pressure, temperature, and oxygen quality, are captured through a host of multifaceted sensors. Additionally, remote health monitoring, medication, and management are being facilitated through a host of ingestible sensors, 5G communication, networked embedded systems, AI models running on cloud servers and edge devices, etc. Furthermore, chronic disease management is another vital domain getting increased attention. The distinct advancements in the fuzzy logic field are useful in various advanced medical care functionalities and facilities.

The readers will discover:

  • new and innovative features of health care by using fuzzy logic that raises economic efficiency at macro and micro levels;
  • expounds on fuzzy logic techniques used in medical science;
  • describes the evolution of the fuzzy logic paradigm and how it helps physicians decide on diagnosis and prognosis;
  • uncovers how trust management is dealt with between patients and medical officials to help advance the fuzzy logic field;
  • provides case studies, various technology advancements, and practical aspects on the impacts and challenges of fuzzy-based Internet of Medical Things.

Audience

The book will be read and used by researchers in artificial intelligence, fuzzy logic, medical professionals, caregivers, health administrators, and policymakers.

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Yes, you can access Advances in Fuzzy-Based Internet of Medical Things (IoMT) by Satya Prakash Yadav,Sudesh Yadav,Pethuru Raj,Victor Hugo C. de Albuquerque in PDF and/or ePUB format, as well as other popular books in Computer Science & Artificial Intelligence (AI) & Semantics. We have over one million books available in our catalogue for you to explore.

Table of contents

  1. Cover
  2. Title Page
  3. Copyright Page
  4. Contents
  5. Preface
  6. Chapter 1 IoMTā€”Applications, Benefits, and Future Challenges in the Healthcare Domain
  7. Chapter 2 Fuzzy-Based IoMT System Design Challenges
  8. Chapter 3 Development and Implementation of a Fuzzy Logic-Based Framework for the Internet of Medical Things (IoMT)
  9. Chapter 4 Detecting Healthcare Issues Using a Neuro-Fuzzy Classifier
  10. Chapter 5 Development of the Fuzzy Logic System for Monitoring of Patient Health
  11. Chapter 6 Management of Trust Between Patient and IoT Using Fuzzy Logic Theory
  12. Chapter 7 Improving the Efficiency of IoMT Using Fuzzy Logic Methods
  13. Chapter 8 An Intelligent IoT-Based Healthcare System Using Fuzzy Neural Networks
  14. Chapter 9 An Enhanced Fuzzy Deep Learning (IFDL) Model for Pap-Smear Cell Image Classification
  15. Chapter 10 Classification and Diagnosis of Heart Diseases Using Fuzzy Logic Based on IoT
  16. Chapter 11 Implementation of a Neuro-Fuzzy-Based Classifier for the Detection of Types 1 and 2 Diabetes
  17. Chapter 12 IoMT Type-2 Fuzzy Logic Implementation
  18. Chapter 13 Feature Extraction and Diagnosis of Heart Diseases Using Fuzzy-Based IoMT
  19. Chapter 14 An Intelligent Heartbeat Management System Utilizing Fuzzy Logic
  20. Chapter 15 Functional Fuzzy Logic and Algorithm for Medical Data Management Mechanism Monitoring
  21. Chapter 16 Using IoT to Evaluate the Effectiveness of Online Interactive Tools in Healthcare
  22. Chapter 17 Integration of Edge Computing and Fuzzy Logic to Monitor Novel Coronavirus
  23. Chapter 18 Implementation of IoT in Healthcare Barriers and Future Challenges
  24. Index
  25. EULA