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Healthcare Data Analytics and Management
Highlights the latest developments in data analysis and management in the healthcare sector
Nilanjan Dey (Edited by), Amira S. Ashour (Edited by), Simon James Fong (Edited by), Chintan Bhatt (Edited by)
9780128153680, Elsevier Science
Paperback, published 16 November 2018
340 pages
23.4 x 19 x 2.2 cm, 0.7 kg
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.
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
Subject Areas: Biomedical engineering [MQW]