Internet of Things Based Smart Healthcare Intelligent and Secure Solutions Applying Machine Learning Techniques
This book provides both the developers and the users with an awareness of the challenges and opportunities of advancements in healthcare paradigm with the application and availability of advanced hardware, software, tools, technique or algorithm development stemming the Internet of Things. The book...
| Other Authors: | , , , |
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| Format: | eBook |
| Language: | English |
| Published: |
Singapore
Springer Nature Singapore
2022, 2022
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| Edition: | 1st ed. 2022 |
| Series: | Smart Computing and Intelligence
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| Subjects: | |
| Online Access: | |
| Collection: | Springer eBooks 2005- - Collection details see MPG.ReNa |
Table of Contents:
- Part 1 IoT based Smart Healthcare
- Chapter 1 Introduction
- Chapter 2 Architecture for Smart Healthcare: Cloud vs Edge
- Chapter 3 Main Challenges and Concerns of Health IoT Data
- Part 2 Context and Body Vitals Monitoring Systems
- Chapter 4 Human Activity Recognition Systems Based on Sensor Data using Machine Learning
- Chapter 5 Human Activity Recognition Systems Based on Audio-Video Data using Machine Learning and Deep learning
- Chapter 6 Review of Body Vitals Monitoring Systems for Disease Prediction
- Chapter 7 Review of Context Aware System Implementations
- Part 3 Social Sensing Applications for Public Health
- Chapter 8 Types of Social Sensing Data
- Chapter 9 Social Data Analysis Techniques and Applications
- Chapter 10 Challenges and Limitations of Social Data Analysis Approaches
- Part 4 Reliability, Security and Privacy of Health Data
- Chapter 11 Quality of Service vs Quality of Experience for Real-time Smart Healthcare
- Chapter 12 Security and Privacy Issues of HealthData
- Chapter 13 Review of Performance Metrics and Corrective Measures for Health Data Analysis