Big Data Analytics for Intelligent Healthcare Management: A Comprehensive Guide

Big Data Analytics for Intelligent Healthcare Management, authored by Nilanjan Dey, is a comprehensive guide that delves into the theory and application of hardware platforms and architectures, software methods, techniques, and tools, as well as applications and governance. It also covers adoption strategies for the use of big data in healthcare and clinical research.

Understanding Big Data Architecture and Modeling

The book provides insights into the methodology and requirements for developing big data architecture, big data modeling, big data as a service, big data analytics, and more. It explores the development of big data tools, including data, web, and text mining, data mining, optimization, machine learning, cloud in big data with Hadoop, and big data in IoT.

Applications of Big Data in Healthcare

Big Data Analytics for Intelligent Healthcare Management discusses various applications of big data for intelligent healthcare management, such as revenue management and pricing, predictive analytics/forecasting, big data integration for medical data, algorithms and techniques, and more. It highlights how big data can revolutionize healthcare by providing real-time insights and improving patient outcomes.

Adoption Strategies and Future Directions

The book also covers adoption strategies for the use of big data in healthcare and clinical research. It 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. This comprehensive guide is essential for healthcare professionals, researchers, and policymakers seeking to leverage big data for better healthcare management.