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Big Data Analytics for Intelligent Healthcare Management covers both the theory and application of hardware platforms and architectures;
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intelligent big data analytics from a perspective of computing, service, and management. While highlighting topics including e-commerce, machine;
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, opportunities, novel strategies, techniques and challenges for handling big data, data analytics and management in healthcare. As the rapidly expanding;
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, business intelligence, big data, and analytics from a perspective of computing, service, and management. This book also provides real-world;
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Toolkits, Big Data Open Platforms, Economic Analysis, Big Data for Enterprise Transformation, Big Data in Business Performance Management, Big Data;
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Artificial Intelligence and Big Data Analytics for Smart Healthcare serves as a key reference for practitioners and experts involved;
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information retrieval and data analytics for electronic medical records; data management and visualization of medical data; biomedical data sharing;
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This book covers a wide range of topics on the role of Artificial Intelligence, Machine Learning, and Big Data for healthcare applications;
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intelligence for making better healthcare decisions. Identifying patterns and correlations contained in complex health data, analytics has applications;
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This comprehensive book focuses on better big-data security for healthcare organizations. Following an extensive introduction to the;
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-18 papers cover major areas of 'Digital Architecture for Internet of Things, Big data, Cloud and Mobile IT in Healthcare' and 'Advanced ICT;
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processing, big data analytics, machine learning, distributed ledger technologies, and security. In addition, it discusses the effects of Intelligent;
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processing, big data analytics, machine learning, distributed ledger technologies, and security. In addition, it discusses the effects of Intelligent;
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analytics and Hadoop and Spark programming. Part 1 focuses on data science, the roles of clouds and IoT devices and frameworks for big-data;
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in health sciences and biomedical data. The book is useful for those working with big data analytics in biomedical research, medical industries, and;
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: Improving Efficiency and Productivity, this latest book includes new content that examines the evolution of Big Data and how it is revolutionizing;
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: Improving Efficiency and Productivity, this latest book includes new content that examines the evolution of Big Data and how it is revolutionizing;
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also provides details of the challenges of healthcare big data, role of big data in healthcare and techniques, and tools for IoT in healthcare;
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integrating R and Hadoop.This book is ideal for R developers who are looking for a way to perform big data analytics with Hadoop. This book is also;
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Decision Analytics for Public Health and Wellness, DMDA-Health; Biologically Inspired Data Mining Techniques, BDM; Mobile Data Management, Mining;
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Applications of Big Data in Healthcare: Theory and Practicebegins with the basics of Big Data analysis and introduces the tools;
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As technology evolves and electronic data becomes more complex, digital medical record management and analysis becomes a challenge;
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Unique prospective on the big data analytics phenomenon for both business and IT professionals The availability of Big Data, low-cost;
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Data Analytics for Intelligent Transportation Systems provides in-depth coverage of data-enabled methods for analyzing intelligent;
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This book constitutes the refereed proceedings of the 6th International Conference on Big Data analytics, BDA 2018, held in Warangal, India;
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of sensor data Discusses intelligent management systems for applications such as healthcare, robotics and environment modeling
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IoT Based Data Analytics for the Healthcare Industry: Techniques and Applications explores recent advances in the analysis of healthcare;
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