Internet of Things Based Smart Healthcare Intelligent and Secure Solutions Applying Machine Learning Techniques /
| Tác giả của công ty: | |
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| Tác giả khác: | , , , |
| Tóm tắt: | VI, 397 p. 154 illus., 108 illus. in color. text |
| Ngôn ngữ: | Tiếng Anh |
| Được phát hành: |
Singapore :
Springer Nature Singapore : Imprint: Springer,
2022.
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| Phiên bản: | 1st ed. 2022. |
| Loạt: | Smart Computing and Intelligence,
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| Những chủ đề: | |
| Truy cập trực tuyến: | https://doi.org/10.1007/978-981-19-1408-9 |
| Định dạng: | Điện tử Sách |
Mục lục:
- 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.