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of networked data analysis and Big Data - for and within medical science and healthcare management. Big Data is about the collection, storage;
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management, such as predictive analytics and forecasting, big data integration for medical data, algorithms and techniques to speed up the analysis;
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An essential guide to healthcare data problems, sources, and solutions Strategies in Biomedical Data Science provides medical professionals;
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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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, opportunities, novel strategies, techniques and challenges for handling big data, data analytics and management in healthcare. As the rapidly expanding;
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, including machine learning, big data analytics, statistics, pattern recognition, computer vision, and Semantic Web technologies, and focuses on;
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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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Artificial Intelligence and Big Data Analytics for Smart Healthcare serves as a key reference for practitioners and experts involved;
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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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Big Data Analytics for Intelligent Healthcare Management covers both the theory and application of hardware platforms and architectures;
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Green Computing and Predictive Analytics for Healthcare excavates the rudimentary concepts of Green Computing, Big Data and the Internet;
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, and much more. Covers the basics of biosensor based medical care data analysis and management Discusses data;
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This is the first book to offer a comprehensive yet concise overview of the challenges and opportunities presented by the use of big data;
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Big data and the Internet of Things (IoT) play a vital role in prediction systems used in biological and medical applications, particularly;
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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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that handle large volumes of data driven by patients' records and health/personal information, including big-data-based knowledge management;
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About the Book The book provides details of applying intelligent mining techniques for extracting and pre-processing medical data from;
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, health data analysis and management, big data and smart health, and healthcare intelligent systems and clinical practice.;
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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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privacy issues in newer technologies such as Cloud, Big Data, and IoT. It discusses the e-health system and preserving its privacy, and the use;
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in Data Science and Real Time Applications Addressing Big Data Issues Useful Machine Learning Methods Disease Detection;
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accumulated, processed, and shared around the globe. Transforming Healthcare with Big Data and AI examines the crossroads of these two fields and;
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accumulated, processed, and shared around the globe. Transforming Healthcare with Big Data and AI examines the crossroads of these two fields and;
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for Business Model Innovations and Analytics, Big Data in Enterprise Management Models and Practices, Big Data in Government Management Models;
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, and opportunities within healthcare data management. A comprehensive reference source within the medical technology field, this Handbook;
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for storing health records and health data models. It also focuses on the research challenges in big data acquisition, storage, management and;
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