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Action learning was developed in the UK in the 1960s and is now one of the most widely used development methods in healthcare. This;
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This second volume of two discusses the employment of action learning in different contexts, including healthcare, education;
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Learning: Ideas for Action Appendixes Appendix A: Workshop Agenda Appendix B: Biographical Sketches of Workshop Participants Appendix C;
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developments in learning beyond registration. With action points, illustrations and case studies, this is an ideal textbook for healthcare;
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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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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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solutions for a more personalized approach to the healthcare field. Topics include deep learning methods for applications in object detection and;
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to the future. Rigorously researched, Self Managed Learning in Action demonstrates that this important approach can be used in a wide variety;
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to the future. Rigorously researched, Self Managed Learning in Action demonstrates that this important approach can be used in a wide variety;
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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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Clearly set out and easy to understand, this book provides a complete guide to doing action research.;
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This book presents a variety of techniques designed to enhance and empower multi-disciplinary and multi-institutional machine learning;
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quality-is rooted in continuous improvement principles that medicine shares with engineering. As part of its Learning Health System series;
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DescriptionIn recent years, machine learning technologies and analytics have been widely utilized across the healthcare sector. Healthcare Analytics;
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policies motivating each action. This volume was written from that experience, which was first documented in the course on the Political Aspects;
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education, learning and the web and its integration and role within modern healthcare education and training. The book encompasses topics such as;
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This is a clear, authoritative and practical guide to doing action research in nursing, health and clinical settings from the top names;
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This is a clear, authoritative and practical guide to doing action research in nursing, health and clinical settings from the top names;
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Participatory Action Research in Healthcare provides a guide to participatory action research in the community health setting. It draws;
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, and act on problems to drive action-oriented solutions Supports experiential learning and coaching for students and professionals early;
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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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service and delivery. Clinical Leadership in Nursing and Healthcare: Values into Action offers a range of tools and topics that support and;
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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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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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Artificial intelligence, machine learning, natural language processing, robotics, big data and other new technologies are ready to;
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This updated second edition offers a guided tour of machine learning algorithms and architecture design. It provides real-world;
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