Big Data Analytics for Intelligent Healthcare Management

Big Data Analytics for Intelligent Healthcare Management, authored by Nilanjan Dey, delves into the theory and application of hardware platforms and architectures, software methods, techniques, and tools, applications, and governance. It also covers 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.

Methodology and Requirements for Development of Big Data Architecture

The book examines the methodology and requirements for development of big data architecture, big data modeling, big data as a service, big data analytics, and more. It discusses 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.

Big Data Applications for Intelligent Healthcare Management

Big Data Analytics for Intelligent Healthcare Management also covers 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. It provides insights into the use of big data analytics with statistical and machine learning techniques that analyze huge amounts of real-time healthcare data.

Published by Elsevier Science, the book is available in English and was released on April 15, 2019. The ISBNs for the book are 9780128181461 and 9780128181478.