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a variety of structured, unstructured, and semi-structured data. Machine Learning for Healthcare Analytics Projects is packed with new;
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them to gain better insight from this data in order to improve healthcare outcomes. This book is a complete overview of machine learning for;
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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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medical research scientists. The book covers health analytics, data science, and machine and deep learning applications for biomedical data;
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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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Big Data Analytics for Intelligent Healthcare Management covers both the theory and application of hardware platforms and architectures;
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Learn to leverage Amazon's powerful platform for your predictive analytics needs About This Book * Create great machine 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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Meta-Analytics: Consensus Approaches and System Patterns for Data Analysis presents an exhaustive set of patterns for data science to use;
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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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Who This Book Is For Health care professionals interested in how machine learning can be used to develop health intelligence - with the aim;
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Power Platform Projects The creation and management of environments for development, testing, and production of a machine learning project How;
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This edited volume on machine learning and big data analytics (Proceedings of ICMLBDA 2021) is intended to be used as a reference book for;
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many themes including artificial intelligence and data mining applications, machine learning and applications, deep learning technology for;
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solid basis for exploring the field on their own. Both early chapters and later case studies illustrate how the process of learning predictive;
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Machine Learning for Healthcare: Handling and Managing Data provides in-depth information about handling and managing healthcare data;
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This book provides applications of machine learning in healthcare systems and seeks to close the gap between engineering and medicine. It;
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and frameworks; predictive analytics in healthcare and agricultural domains; and machine learning and pattern mining.;
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toward the researchers aspiring to learn and apply intelligent data analytics techniques. The first part covers AI, machine learning and data;
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, machine learning and analytics systems. To that end, the authors draw upon their original research and proven track record in the field to;
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learning algorithms for data analytics. The content within this publication examines disease identification, neural networks, and language support;
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of Machine Learning techniques that show enormous potential for solving complex business problems. Deep Learning enables computers to analyze large;
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Gain practical skills in machine learning for finance, healthcare, and retail. This book uses a hands-on approach by providing case studies;
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research in healthcare informatics. It is intended to provide a unique compendium of current and emerging machine learning paradigms for healthcare;
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This book presents high-quality papers from an international forum for research on computational approaches to learning. It includes;
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in healthcare informatics. Provides computational intelligence-based solution for diagnosis of diseases. Reviews modelling and simulations;
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algorithm design. The book also explores machine learning functions, such as feature extraction, data visualization and model boundaries. The;
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