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1st Edition - November 15, 2018
Editors: 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… Read more
LIMITED OFFER
Immediately download your ebook while waiting for your print delivery. No promo code is needed.
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.
Professional researchers in engineering and software design; communication systems developers; physicians working directly with BMEs on the development of these systems; researchers working in healthcare systems; academics and industry professionals working in system design, computer science, electronics engineering, wireless communication, body area networking, IoT, big data, data management, monitoring systems design and information technology; graduate and postgraduate students
1. Internet of Things, Smart Sensors,and Pervasive Systems: Enabling the Connected and Pervasive Health Care
2. Migration of Healthcare Relational Database to NoSQL Cloud Database for Healthcare Analytics and Management
3. Developing a Decision Support System for Big Data Analysis and Cost Allocation in National Health Care
4. Securing Large Datasets Involving Fast performing Key Bunch Matrix Block Cipher
5. Comparative Analysis of Semantic Framework in Healthcare
6. Smart Ambulance System Using Concept of Big Data and Internet of Things
7. Mathematical methods of ECG data analysis
8. Smart Information Technology for Universal Health Care
9. Handling Uncertainty in IoT Design: An Approach of Statistical Machine Learning with Distributed Second order Optimization
10. A reversible and secure Electronic Patient Record (EPR) embedding technique using histogram bin shifting and RC6 encryption
11. Secure and Reversible Data Hiding Scheme for Healthcare System using Magic Rectangle and a new Interpolation Technique
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