Mendeley出力
Internet of Things Based Smart Healthcare : Intelligent and Secure Solutions Applying Machine Learning Techniques / edited by Suparna Biswas, Chandreyee Chowdhury, Biswaranjan Acharya, Chuan-Ming Liu
(Smart Computing and Intelligence. ISSN:25220896)
| 資料タイプ | 電子ブック |
|---|---|
| 版 | 1st ed. 2022. |
| 出版者 | (Singapore : Springer Nature Singapore : Imprint: Springer) |
| 出版年 | 2022 |
| 大きさ | VI, 397 p. 154 illus., 108 illus. in color : online resource |
書誌詳細を非表示
| 一般注記 | 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 Health Data -- Chapter 13 Review of Performance Metrics and Corrective Measures for Health Data Analysis 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 helps readers to bridge the gap in their three understanding of three major domains and their interconnections: Hardware tested and software APP development for data collection, intelligent protocols for analysis and knowledge extraction. Medical expertise to interpret extracted knowledge towards disease prediction or diagnosis and support. Security experts to ensure data correctness for precise advice. The book provides state-of-the-art overviews by active researchers, technically elaborating healthcare architectures/frameworks, protocols, algorithms, methodologies followed by experimental results and evaluation. Future direction and scope will be precisely documented for interested readers HTTP:URL=https://doi.org/10.1007/978-981-19-1408-9 |
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| 著者標目 | Biswas, Suparna editor Chowdhury, Chandreyee editor Acharya, Biswaranjan editor Liu, Chuan-Ming editor SpringerLink (Online service) |
| 件 名 | LCSH:Machine learning LCSH:Biomedical engineering LCSH:Medical education LCSH:Medical care FREE:Machine Learning FREE:Medical and Health Technologies FREE:Medical Education FREE:Health Care |
| 分 類 | LCC:Q325.5-.7 DC23:006.31 |
| 書誌ID | EB16355402 |
| ISBN | 9789811914089 |