Big Data Analytics for Intelligent Healthcare Management

This book PDF is perfect for those who love Science genre, written by Nilanjan Dey and published by Academic Press which was released on 15 April 2019 with total hardcover pages 312. You could read this book directly on your devices with pdf, epub and kindle format, check detail and related Big Data Analytics for Intelligent Healthcare Management books below.

Big Data Analytics for Intelligent Healthcare Management
Author : Nilanjan Dey
File Size : 45,8 Mb
Publisher : Academic Press
Language : English
Release Date : 15 April 2019
ISBN : 9780128181478
Pages : 312 pages
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Big Data Analytics for Intelligent Healthcare Management by Nilanjan Dey Book PDF Summary

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

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

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This book includes state-of-the-art discussions on various issues and aspects of the implementation, testing, validation, and application of big data in the context of healthcare. The concept of big data is revolutionary, both from a technological and societal well-being standpoint. This book provides a comprehensive reference guide for engineers, scientists,

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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

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