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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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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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Machine Learning in Healthcare discusses how to build various ML algorithms and how they can be applied to improve healthcare systems. It;
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machine learning research in healthcare informatics. Providing a unique compendium of current and emerging machine learning paradigms for;
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machine learning research in healthcare informatics. Providing a unique compendium of current and emerging machine learning paradigms for;
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Machine Learning and the Internet of Medical Things in Healthcare discusses the applications and challenges of machine learning for;
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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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Intermediate user level;...
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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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learning algorithms, enabling the healthcare industry to develop meaningful and cost-effective services. This requires effective understanding;
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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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Demystifying Big Data, Machine Learning, and Deep Learning for Healthcare Analytics presents the changing world of data utilization;
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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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. Topics include techniques and methods in artificial intelligence for making machines intelligent, machine learning in healthcare, using machine;
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This book focuses on various advanced technologies which integrate with machine learning to assist one of the most leading industries;
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This book discusses research in Artificial Intelligence for the Internet of Health Things. It investigates and explores the possible;
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Practical Machine Learning for Data Analysis Using Python is a problem solver's guide for creating real-world intelligent systems. It;
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a single source for solving various problems via machine learning algorithms.;
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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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medical research scientists. The book covers health analytics, data science, and machine and deep learning applications for biomedical data;
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MACHINE LEARNING PARADIGM FOR INTERNET OF THINGS APPLICATIONS As companies globally realize the revolutionary potential of the IoT, they;
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value out of it. Demystifying Big Data and Machine Learning for Healthcare investigates how healthcare organizations can leverage this;
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value out of it. Demystifying Big Data and Machine Learning for Healthcare investigates how healthcare organizations can leverage this;
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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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Artificial Intelligence and Big Data Analytics for Smart Healthcare serves as a key reference for practitioners and experts involved;
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