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multimodal data sets for clinical decision support and treatment planning. The CLIP workshops provides a forum for work centered on specific clinical;
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retrieval of data from visual or multimodal medical databases, disease model-building and clinical decision support systems based on visual or;
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in Medical Image Computing, iMIMIC 2019, and the 9th International Workshop on Multimodal Learning for Clinical Decision Support, ML-CDS 2019, held;
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This book constitutes the refereed proceedings of the Second MICCAI Workshop on Medical Content-Based Retrieval for Clinical Decision;
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discovery, clinical decision support systems, disease diagnosis, prediction and monitoring Discusses Deep Learning applied to Electronic;
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in Medical Imaging, UNSURE 2019, and the 8th International Workshop on Clinical Image-Based Procedures, CLIP 2019, held in conjunction with MICCAI;
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This issue of Clinics in Laboratory Medicine, Guest Edited by Dr. Anand S. Dighe, will focus on Clinical Decision Support, including tools;
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: Offers a case-based guide to geriatric dental care Includes the thinking behind clinical decision making Fosters independent learning and;
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, cognitive models, decision support networks to enhance surgical procedural assistance, context-awareness and team communication in the operating;
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and deep learning approaches, presents data analytics and mining for decision-support applications, and includes case-based reasoning, natural;
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learning; machine learning - semi-supervised learning; and machine learning - weakly supervised learning Part III: machine learning;
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For the development of clinical decision support systems based on Bayesian networks, Mario A. Cypko investigates comprehensive expert;
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activities designed to support student nurses in clinical practice. Loved and trusted by millions, The Royal Marsden Manual of Clinical Nursing;
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journey from novice to expert. The text also describes how game-based learning methods can support the development of complex decision-making and;
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Using a case-based approach, Colorectal Surgery: Clinical Care and Management provides practical, clinical and expert guidance to;
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therapy education, to enhance clinical reasoning and clinical decision-making for developing professionals and post-professionals in both clinical;
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in topical sections on analysis, methodologies, algorithms, software systems, validation approaches, benchmark datasets, neuroscience and clinical;
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scenarios designed to help you enhance and hone your clinical decision-making skills. Each case includes an easy-to-understand discussion correlated;
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, and clinical informatics experts, the field is poised anew on the brink of broad adoption. Clinical Decision Support, 2nd Edition provides an;
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deep learning in clinical applicationsIntroduces several techniques for medical image processing and analysis for CAD systems design;
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Clinical leadership, along with values-based care and compassion, are critical in supporting the development of high quality healthcare;
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, multimodal image registration and fusion for spine imaging, novel visualization techniques, segmentation techniques for spine imaging, statistical;
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This book clearly demonstrates how to best make medical decisions while incorporating clinical practice guidelines and decision support;
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realistic clinical scenarios designed to help you enhance and hone your clinical decision-making skills. Each case includes an easy-to-understand;
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wide range of topics including clinical decision support systems, biomedical image analysis, and prediction models, this book is ideally;
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applicability of research results are addressed. In addition, the book covers clinical problem solving, diagnostic decision support using ICT, and;
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Studio-Based Approaches for Multimodal Projects examines a cross-section of strategies for studio approaches and models that enable process;
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