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Deep Learning Techniques for Biomedical and Health Informatics

Deep Learning Techniques for Biomedical and Health Informatics provides readers with the state-of-the-art in deep learning-based;

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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;

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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;

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Handbook of Deep Learning in Biomedical Engineering and Health Informatics: Biomedical Engineering

Introduces important recent technological advancements in the field Describes the various techniques, platforms, and tools used;

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Deep Learning in Biomedical and Health Informatics

deep learning in health informatics in the fields of medical imaging, electronic health records, genomics, and sensing Highlights various;

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Signal Processing Techniques for Computational Health Informatics

in biomedical applications, including: bio-signal origin and dynamics, sensors used for data acquisition, artefact and noise removal techniques, feature;

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Smart Computational Intelligence in Biomedical and Health Informatics

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

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

Demystifying Big Data, Machine Learning, and Deep Learning for Healthcare Analytics presents the changing world of data utilization;

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Methods in Biomedical Informatics

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

Biomedical informatics is a field of information engineering that has applications in healthcare, particularly in the management and use;

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Handbook of Deep Learning in Biomedical Engineering

composite information. Handbook for Deep Learning in Biomedical Engineering: Techniques and Applications gives readers a complete overview of the;

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Biomedical Informatics

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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Deep Learning for Data Analytics

Learning for data analytics and biomedical engineering applications.Discusses Deep Learning techniques as they are being applied in the;

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Principles of Biomedical Informatics

the storage, retrieval, and use of biomedical data for biological problem solving and medical decision making. It covers the application;

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Data Analytics in Biomedical Engineering and Healthcare

medical research scientists. The book covers health analytics, data science, and machine and deep learning applications for biomedical data;

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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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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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Machine Learning and the Internet of Medical Things in Healthcare

healthcare applications. The book provides a platform for presenting machine learning-enabled healthcare techniques and offers a mathematical and;

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Trends in Deep Learning Methodologies

. Chapters investigate deep learning-based algorithms in a variety of application, including biomedical and health informatics, computer vision;

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International Conference on Biomedical and Health Informatics

This volume presents the proceedings of the International Conference on Biomedical and Health Informatics (ICBHI). The conference was a new;

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Informatics Needs and Challenges in Cancer Research

information understandable and useful. Informatics tools-which help collect, organize, and analyze data-are essential to biomedical and health;

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Machine Learning with Health Care Perspective

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 with Health Care Perspective

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

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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Machine Learning in Medicine

Provides a comprehensive overview of machine learning and deep learning techniques for biomedical imaging Includes thoracic imaging;

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