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.

Internet of things, smart sensors, and pervasive systems: Enabling connected and pervasive healthcare -- Migration of healthcare relational database to NoSQL cloud database for healthcare analytics and management --Developing a decision support system for big data analysis and cost allocation in national healthcare -- Securing large datasets involving fast-performing key bunch matrix block cipher -- Comparative analysis of semantic frameworks in healthcare -- Smart ambulance system using concept of big data and internet of things -- Mathematical methods of ECG data analysis -- Smart information technology for universal healthcare -- Handling uncertainty in IoT design: An approach of statistical machine learning with distributed second-order optimization -- A reversible and secure electronic patient record embedding technique using histogram bin shifting and RC6 encryption --Secure and reversible data hiding scheme for healthcare system using magic rectangle and a new interpolation technique.