This book provides an analysis of the role of fog computing, cloud computing, and Internet of Things in providing uninterrupted context-aware services as they relate to Healthcare 4. 0. The book considers a three-layer patient-driven healthcare architecture for real-time data collection, processing, and transmission. It gives insight to the readers for the applicability of fog devices and gateways in Healthcare 4. 0 environments for current and future applications. It also considers aspects required to manage the complexity of fog computing for Healthcare 4. 0 and also develops a comprehensive taxonomy.
Inhaltsverzeichnis
Part 1. Background and Preliminaries. - Chapter 1. Adoption of Fog Computing in Healthcare 4. 0. - Chapter 2. Background and Research Challenges for FC for Healthcare 4. 0. - Chapter 3. Fog Computing Architectures and Frameworks for HealthCare 4. 0. - Chapter 4. Importance of Fog Computing in Healthcare 4. 0 . - Chapter 5. A Comprehensive Overview of Fog Data Processing and Analytics for Healthcare 4. 0 . - Chapter 6. Data processing and analytics in FC for healthcare 4. 0. - Part 2. Enabling Technologies for Healthcare 4. 0. - Chapter 7. Enabling technologies for fog computing in healthcare 4. 0: Challenges and Future Implications. - Chapter 8. Healthcare 4. 0: A Voyage of Fog Computing with IoT, Cloud Computing, Big Data, and Machine Learning. - Chapter 9. Fog- IoT environment in smart healthcare: A case study for student stress monitoring. - Chapter 10. IoT based Cloud based Rx Healthcare Expert System. - Part 3. Fog-assisted Security and Privacy for Healthcare 4. 0. - Chapter 11. A secure Fog Computing Architecture for Continuous Health Monitoring. - Chapter 12. Security and privacy issues in FOG Computing for Healthcare 4. 0. - Chapter 13. Fog-assisted Data Security and Privacy in Healthcare. - Chapter 14. Data Security and Privacy Functions in Fog Computing for Healthcare 4. 0. - Chapter 15. Fog Computing Application for Biometric based secure access to Healthcare Data . - Part 4. Resource-block and Healthcare 4. 0 Applications. - Chapter 16. Efficient Resource Discovery and Sharing Framework for Fog Computing in Healthcare 4. 0. - Chapter 17. Healthcare Using Different Biofeedback for Tension Type Headache: IoT & Fog Based Applications in South Asian Context. - Chapter 18. Electronic Healthcare System: Mental Disorder Assessment and Intervention with Self-Treatment System using Rule-Based Techniques. - Chapter 19. Breast cancer detection based on antenna data collection and analysis. - Part 5. Next Generation Health Fog Analytics for Healthcare 4. 0. - Chapter 20. Yajna and Mantra Science on Healthcare Domain: A Futuristic Scientific Approach with Indian Scenario. - Chapter 21. The Interoperability of Fog and IoT in Healthcare Domain: Architecture, Application, and Challenges. - Chapter 22. Applications of Fog Computing, Internet of Things, and Blockchain Technology in Healthcare Industry. - Chapter 23. Social, ethical and regulatory issues of Fog computing in healthcare 4. 0 applications: discussions and resolutions.
