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Big Data Analytics for Intelligent Healthcare Management
Big Data Analytics for Intelligent Healthcare Management covers both the theory and application of hardware platforms and architectures, the development of software methods, techniques and tools, applications and governance, and adoption strategies for the use of big data in healthcare and clinical research. The book provides the latest research findings on the use of big data analytics with statistical and machine learning techniques that analyze huge amounts of real-time healthcare data. - Examines the methodology and requirements for development of big data architecture, big data modeling, big data as a service, big data analytics, and more - Discusses big data applications for intelligent healthcare management, such as revenue management and pricing, predictive analytics/forecasting, big data integration for medical data, algorithms and techniques, etc. - Covers the development of big data tools, such as data, web and text mining, data mining, optimization, machine learning, cloud in big data with Hadoop, big data in IoT, and more
Pension Design and Structure
Employees are being given more and more decisions to make with regards to their pension and healthcare plans. Yet increasing research in the social sciences shows that the decisions 'real' people make are not those of the thoughtful and well-informed economic agent often portrayed in economic research, but are often based on flawed information and made without a full understanding of their financial implications. The contributors to Pension Design and Structure explore theassumptions behind commonly-held theories of retirement decision-making, and the consequences of the growing volume of research in behavioural finance and economics for the field of pension research. Contributors are drawn from a variety of disciplines, and include leading pensions experts.
The Problem with Interest
Written by Tarek El-Diwany, this book focuses on Islamic economics, usury, the history of banking and money creation.
