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Deep Learning Techniques for Biomedical and Health Informatics provides readers with the state-of-the-art in deep learning-based;
Vergelijkbare producten zoals Deep Learning Techniques for Biomedical and Health Informatics
This book presents a collection of state-of-the-art approaches for deep-learning-based biomedical and health-related applications. The aim;
Vergelijkbare producten zoals Deep Learning Techniques for Biomedical and Health Informatics
This book presents a collection of state-of-the-art approaches for deep-learning-based biomedical and health-related applications. The aim;
Vergelijkbare producten zoals Deep Learning Techniques for Biomedical and Health Informatics
Introduces important recent technological advancements in the field Describes the various techniques, platforms, and tools used;
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deep learning in health informatics in the fields of medical imaging, electronic health records, genomics, and sensing Highlights various;
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in biomedical applications, including: bio-signal origin and dynamics, sensors used for data acquisition, artefact and noise removal techniques, feature;
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in healthcare informatics. Provides computational intelligence-based solution for diagnosis of diseases. Reviews modelling and simulations;
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Predictive Intelligence in Biomedical and Health Informatics focuses on imaging, computer-aided diagnosis and therapy as well as;
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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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from heterogeneous data sets, Methods in Biomedical Informatics provides a practical survey of methodologies used in biological, clinical, and;
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Biomedical informatics is a field of information engineering that has applications in healthcare, particularly in the management and use;
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composite information. Handbook for Deep Learning in Biomedical Engineering: Techniques and Applications gives readers a complete overview of the;
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details, it provides the tools for study required for readers to comprehend, assess, and utilize biomedical informatics and health IT. It focuses;
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Learning for data analytics and biomedical engineering applications.Discusses Deep Learning techniques as they are being applied in the;
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the storage, retrieval, and use of biomedical data for biological problem solving and medical decision making. It covers the application;
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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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focus of the book is on computational techniques that are widely used in health data analysis and health informatics and it integrates computer;
Vergelijkbare producten zoals Introduction to Computational Health Informatics
focus of the book is on computational techniques that are widely used in health data analysis and health informatics and it integrates computer;
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healthcare applications. The book provides a platform for presenting machine learning-enabled healthcare techniques and offers a mathematical and;
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This book gathers the proceedings of the IV International Conference on Biomedical and Health Informatics (ICBHI 2019), held on 17-20 April;
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. Chapters investigate deep learning-based algorithms in a variety of application, including biomedical and health informatics, computer vision;
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This volume presents the proceedings of the International Conference on Biomedical and Health Informatics (ICBHI). The conference was a new;
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information understandable and useful. Informatics tools-which help collect, organize, and analyze data-are essential to biomedical and health;
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techniques for applying machine learning within organizations and explains how to evaluate the efficacy, suitability, and efficiency of such;
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techniques for applying machine learning within organizations and explains how to evaluate the efficacy, suitability, and efficiency of such;
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Machine Learning, Big Data, and IoT for Medical Informatics focuses on the latest techniques adopted in the field of medical informatics;
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Provides a comprehensive overview of machine learning and deep learning techniques for biomedical imaging Includes thoracic imaging;
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