Advances in Fog Computing and the Internet of Things for Smart Healthcare delves into the transformative impact of fog computing and IoT on modern healthcare systems. This comprehensive guide educates researchers and graduate students on the fundamental concepts of these technologies, illustrating their practical applications in healthcare. Real-world use cases showcase the technologies' ability to enhance patient monitoring and personalized medicine. The book also addresses significant challenges such as privacy, security, data management, and regulatory compliance, providing strategies for overcoming them.
Alongside its companion book, Fundamentals of Fog Computing and the Internet of Things for Smart Healthcare, this volume empowers various industries to leverage IoT technologies while optimizing performance and system efficiency. It highlights the crucial role of fog computing in processing data closer to the source, ensuring faster and more efficient data processing and contributing to the creation of effective IoT ecosystems. This synergy between fog computing and IoT facilitates smarter applications and services, advancing the landscape of healthcare with more efficient, personalized, and accessible services.
1. An intelligent framework to secure Fog computer and IoT service applications using Artificial Intelligence/Machine Learning
2. Optimization Schemes for the fog computing and IoT in smart healthcare systems
3. An ensemble deep learning based Smart Healthcare System for Automatic Diagnosis of Diseases in integrated IoT and fog computing environments
4. Case studies of fog computing and IoT implementations in healthcare System Contributor name and affiliation:
5. The potential applications of fog computing and IoT in healthcare
6. Achievement an extensive knowledge of fog computing and IoT and their applications in smart healthcare systems
7. Sensor network and blockchain platform for the future smart healthcare systems
8. Fog computing and IoT for electronic health records enabled with blockchain technology
9. Fog computing and IoT technology enabled with Artificial Intelligence for healthcare
10. An Enhanced Hyper-Parameter Optimization Artificial Intelligence Model enabled with fog computing and IoT in a Smart Healthcare System 11: Fog computing and IoT technology for throughput and latency in the smart sensor network
12. Federated Learning-based Approaches for Edge-enabled IoT Networks in healthcare
13. Regulatory policies for smart healthcare systems and data protection using AI and blockchain technology
14. Real-world Applications of fog computing and IoT implementations in healthcare
15. Fog computing and IoT technology Enabling Medical Image Processing
16. Fog computing and IoT technology in Hospital Information Systems Management
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