Healthcare 5.0 with Fuzzy Logic
eBook - ePub

Healthcare 5.0 with Fuzzy Logic

Artificial Intelligence, Cyber-Physical Systems, and Medical Internet of Things

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

Healthcare 5.0 with Fuzzy Logic

Artificial Intelligence, Cyber-Physical Systems, and Medical Internet of Things

About this book

The book was inspired by the urgent need for advanced security methods that can keep pace with the increasingly complex nature of modern healthcare systems. In the age of medical networks, incorporating fuzzy logic provides a flexible, adaptive approach to security, enhancing traditional methods of safeguarding patient data, medical devices, and sensitive health records. It presents fuzzy logic as a tool for providing dynamic, intelligent security solutions, exploring its application in risk assessment, anomaly detection, and real-time decision-making processes. By addressing both theoretical frameworks and practical implementations, the book offers comprehensive strategies for establishing resilient, secure healthcare environments. Ultimately, the book is essential reading for healthcare professionals, IT specialists and researchers, and healthcare industries. It provides them with the knowledge to fortify next-generation healthcare systems against cyber threats, ensuring safety and confidence in digital health innovations.

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Information

Publisher
De Gruyter
Year
2026
eBook ISBN
9783112215920

Table of contents

  1. Title Page
  2. Copyright
  3. Contents
  4. Frontmatter
  5. Contents
  6. List of Authors
  7. 1 Introduction to Healthcare 5.0: Evolution and Key Technologies
  8. 2 Fuzzy Logic and Al: Enhancing Decision-Making in Healthcare Systems
  9. 3 Fuzzy-Based Efficient Healthcare Data Collection and Analysis
  10. 4 Fuzzy Logic System Implementation in Health Data Management Frameworks
  11. 5 AI and Fuzzy Logic for Threat Detection in Healthcare Networks
  12. 6 Fuzzy-Based Trust Management for Preventing Attacks in Internet of Medical Things
  13. 7 Fuzzy Logic in Data Encryption for Healthcare Systems
  14. 8 Securing AI and Machine Learning Models in Healthcare with Fuzzy
  15. 9 A Fuzzy Modelling Approach for Risk-Based Access Control
  16. 10 Privacy and Trust in eHealth: A Fuzzy Linguistic Solution
  17. 11 Firewall Best Practices for Securing Smart Healthcare
  18. 12 Secure Cloud Storage for Medical IoT Data
  19. 13 Adaptive Multi-layer Authentication for Secure Internet of Medical Things (IoMT)
  20. 14 Fuzzy Multifactor Authentication in the Internet of Healthcare Things
  21. 15 Fuzzy-Based Multidimensional Risk Assessment Model for the Healthcare 5.0
  22. 16 Cyber Threats in Healthcare 5.0: Countermeasures and Solutions
  23. 17 Case Studies on Securing Healthcare 5.0 with Fuzzy
  24. 18 Future Trends in Healthcare 5.0: Cybersecurity and Emerging Technologies
  25. 19 Fuzzy Logic in Data Aggregation for IoT-Based Health Sector
  26. 20 Utilizing an Advanced Computational Intelligence with Fuzzy Logic Techniques for the Early Detection and Diagnosis of Diabetic Retinopathy
  27. Index
  28. Index

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Yes, you can access Healthcare 5.0 with Fuzzy Logic by Ganesh Gopal Devarajan,Daniel Arockiam,Senthil Murugan Nagarajan,Rashmi Agrawal in PDF and/or ePUB format, as well as other popular books in Computer Science & Computer Science General. We have over 1.5 million books available in our catalogue for you to explore.