Internet of things based smart healthcare : intelligent and secure solutions applying machine learning techniques
Author(s)
Bibliographic Information
Internet of things based smart healthcare : intelligent and secure solutions applying machine learning techniques
（Smart computing and intelligence / series editors, Kinshuk, Ronghuai Huang, Chris Dede）
Springer Nature Singapore, c2022
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Note
Other editors: Chandreyee Chowdhury, Biswaranjan Acharya, Chuan-Ming Liu
Includes bibliographical references
Description and Table of Contents
Description
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.
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 Health Data.- Chapter 13 Review of Performance Metrics and Corrective Measures for Health Data Analysis.
by "Nielsen BookData"
