Healthcare Data Analytics and Management Advances in ubiquitous sensing applications for healthcare 1st Edition by Nilanjan Dey, Amira Ashour, Simon James Fong, Chintan Bhatt – Ebook PDF Instant Download/Delivery: 0128156368, 9780128156360
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Product details:
ISBN 10: 0128156368
ISBN 13: 9780128156360
Author: Nilanjan Dey, Amira S. Ashour, Simon James Fong, Chintan Bhatt
Healthcare Data Analytics and Management help readers disseminate cutting-edge research that delivers insights into the analytic tools, opportunities, novel strategies, techniques and challenges for handling big data, data analytics and management in healthcare. As the rapidly expanding and heterogeneous nature of healthcare data poses challenges for big data analytics, this book targets researchers and bioengineers from areas of machine learning, data mining, data management, and healthcare providers, along with clinical researchers and physicians who are interested in the management and analysis of healthcare data.
- Covers data analysis, management and security concepts and tools in the healthcare domain
- Highlights electronic medical health records and patient information records
- Discusses the different techniques to integrate Big data and Internet-of-Things in healthcare, including machine learning and data mining
- Includes multidisciplinary contributions in relation to healthcare applications and challenges
Healthcare Data Analytics and Management Advances in ubiquitous sensing applications for healthcare 1st Table of contents:
Chapter 1: Internet of things, smart sensors, and pervasive systems: Enabling connected and pervasive healthcare
Abstract
Acknowledgments
1 Introduction
2 IoT, Smart Sensors, and Pervasive Computing
3 Challenges in Traditional Healthcare Systems
4 Mobile and Pervasive Healthcare
5 Role of IoT in Healthcare
6 Different Healthcare Sensors
7 Benefits of Connected Healthcare
8 Challenges in Connected Healthcare
9 Healthcare Applications of Smart Sensors and IoT
10 Use Cases
11 The IoT Healthcare Market: Present and Future
12 Conclusion
Chapter 2: Migration of healthcare relational database to NoSQL cloud database for healthcare analytics and management
Abstract
1 Introduction
2 NoSQL Cloud-Based Technology for Healthcare
3 Cloud-Based Databases for Healthcare
4 Relational Database of Healthcare to NoSQL Cloud Databases
5 Conclusion
Chapter 3: Developing a decision support system for big data analysis and cost allocation in national healthcare
Abstract
1 Introduction
2 Literature Review
3 Mathematical Model for Cost Allocation
4 System Design
5 Discussions
6 Conclusions and Future Work
Chapter 4: Securing large datasets involving fast-performing key bunch matrix block cipher
Abstract
1 Introduction
2 Database Security Threats
3 Database Security Measures Adopted Worldwide
4 Development of the Fast Dataset Block Cipher
5 Illustration and the Outcomes
6 Simulation Set-Up and Performance Analysis
7 Cryptanalysis
8 Conclusions and Future Scope
Chapter 5: Comparative analysis of semantic frameworks in healthcare
Abstract
1 Introduction
2 Background Work
3 Healthcare Semantic Frameworks and Software
4 Research Issues
5 Conclusion
Chapter 6: Smart ambulance system using concept of big data and internet of things
Abstract
1 Introduction
2 Techniques and Technologies
3 Proposed Design
4 Results
Chapter 7: Mathematical methods of ECG data analysis
Abstract
1 Introduction
2 Preprocessing ECG Signals
3 Mathematical Methods of ECG Data Analysis of HRV
4 The Influence of Cardiovascular Disease and Obesity on HRV
5 Conclusion
Chapter 8: Smart information technology for universal healthcare
Abstract
1 Introduction
2 Case Study
3 Tools and Techniques Used
4 Proposed ICT-Based Architecture For Healthcare
5 Results
Chapter 9: Handling uncertainty in IoT design: An approach of statistical machine learning with distributed second-order optimization
Abstract
1 Introduction
2 Uncertainty in IoT and CPS Design
3 Detection of Uncertainty in IoT Design and Distributed Optimization
4 Validation With Second-Order Distributed Optimization: Results and Discussion
5 Conclusion
Chapter 10: A reversible and secure electronic patient record embedding technique using histogram bin shifting and RC6 encryption
Abstract
1 Introduction
2 Related Work
3 Proposed Work
4 Experimental Results
5 A Brief Discussion of the Results
6 Conclusion
Chapter 11: Secure and reversible data hiding scheme for healthcare system using magic rectangle and a new interpolation technique
Abstract
1 Introduction
2 Related Work
3 Proposed Technique
4 Experiment Results
5 Conclusion
Index
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