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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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Healthcare Data Analytics and Management help readers disseminate cutting-edge research that delivers insights into the analytic tools;
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Add a touch of data analytics to your healthcare systems and get insightful outcomes Key Features Perform healthcare analytics with Python;
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At the intersection of computer science and healthcare, data analytics has emerged as a promising tool for solving problems across many;
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your institution's data can provide, this manual will give you direction. Building on chapters that describe the evolution of healthcare;
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true potential of analytics to harness the vast amounts of data being generated in order to improve the decision-making ability of healthcare;
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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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IoT Based Data Analytics for the Healthcare Industry: Techniques and Applications explores recent advances in the analysis of healthcare;
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Data Analytics in Biomedical Engineering and Healthcare explores key applications using data analytics, machine learning, and deep learning;
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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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This book offers a practical introduction to healthcare analytics that does not require a background in data science or statistics. It;
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Analyzing data sets has continued to be an invaluable application for numerous industries. By combining different algorithms, technologies;
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Healthcare is changing, and data is the catalyst Data is taking over in a powerful way, and it's revolutionizing the healthcare industry;
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This book offers examples of how data science, big data, analytics, and cloud technology can be used in healthcare to significantly improve;
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This book offers examples of how data science, big data, analytics, and cloud technology can be used in healthcare to significantly improve;
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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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Demystifying Big Data, Machine Learning, and Deep Learning for Healthcare Analytics presents the changing world of data utilization;
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of healthcare service providers, corresponding information technologies, analytic methods, and data issues that play a vital role in transforming the;
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of healthcare service providers, corresponding information technologies, analytic methods, and data issues that play a vital role in transforming the;
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This book constitutes the thoroughly refereed conference proceedings of the Third International Workshop on Data Management and Analytics;
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Data in Multiple Databases with Privacy and Security Assurances, Poly 2020, and the 6th International Workshop on Data Management and Analytics;
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-edge approaches to the quickly growing field of healthcare, Healthcare Analytics: From Data to Knowledge to Healthcare Improvement provides an;
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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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This is a comprehensive, practical guide which looks at the advantages and limitations of new data analysis techniques being introduced;
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This book constitutes the proceedings of the 8th International Conference on Big Data Analytics, BDA 2020, which took place during December;
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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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