Healthcare Data Analytics and Management

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 recordsDiscusses the different techniques to integrate Big data and Internet-of-Things in healthcare, including machine learning and data miningIncludes multidisciplinary contributions in relation to healthcare applications and challenges INDICE: Internet of Things, Smart Sensors,and Pervasive Systems: Enabling the Connected and Pervasive Health CareMigration of Healthcare Relational Database to NoSQL Cloud Database for Healthcare Analytics and ManagementDeveloping a Decision Support System for Big Data Analysis and Cost Allocation in National Health CareSecuring Large Datasets Involving Fast performing Key Bunch Matrix Block CipherComparative Analysis of Semantic Framework in HealthcareSmart Ambulance System Using Concept of Big Data and Internet of ThingsMathematical methods of ECG data analysisSmart Information Technology for Universal Health CareHandling Uncertainty in IoT Design : An Approach of Statistical Machine Learning with Distributed Second order OptimizationA reversible and secure Electronic Patient Record (EPR) embedding technique using histogram bin shifting and RC6 encryptionSecure and Reversible Data Hiding Scheme for Healthcare System using Magic Rectangle and a new Interpolation Technique

• ISBN: 978-0-12-815368-0
• Editorial: Academic Press
• Encuadernacion: Rústica
• Páginas: 340
• Fecha Publicación: 16/11/2018
• Nº Volúmenes: 1
• Idioma: Inglés