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Introduction to Deep Learning for Healthcare

of deep learning and its applications as well. Researchers working in this field will also find this book to be extremely useful and valuable for;

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Deep Learning for Personalized Healthcare Services

learning algorithms, enabling the healthcare industry to develop meaningful and cost-effective services. This requires effective understanding;

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Deep Learning and IoT in Healthcare Systems

This new volume discusses the applications and challenges of deep learning and the internet of things for applications in healthcare. It;

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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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Emerging Technologies for Healthcare - Internet of Things and Deep Learning Models

Emerging Technologies for Healthcare begins with an IoT-based solution for the automated healthcare sector which is enhanced to provide;

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Deep Learning for NLP and Speech Recognition

learning techniques to NLP and speech and provides insights into using the tools and libraries for real-world applications. Deep Learning for NLP;

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Deep Learning for Nlp and Speech Recognition

learning techniques to NLP and speech and provides insights into using the tools and libraries for real-world applications. Deep Learning for NLP;

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Hands-On Deep Learning for IoT

of this book, you will have sufficient knowledge need to use deep learning efficiently to power your IoT-based applications for smarter decision;

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Machine Learning and the Internet of Medical Things in Healthcare

introduction to the Internet of Medical Things through the principles and applications of machine learning Explains the functions and;

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Machine Learning for Healthcare Analytics Projects

approaches and methodologies for creating powerful solutions for healthcare analytics. This book will teach you how to implement key machine learning;

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Deep Learning Applications Volume 2

. Also offering insights into deep learning architectures and algorithms, it is an essential reference guide for academic researchers;

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Data Analytics in Biomedical Engineering and Healthcare

>Shows readers how to develop clinical decision support systems Shows researchers and specialists how to use hybrid learning for better;

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Deep Learning Techniques for Biomedical and Health Informatics

of learning algorithms (deep learning techniques) make it possible to automatically recognize the patterns and represent the given data for the;

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Deep Learning Techniques for Biomedical and Health Informatics

of learning algorithms (deep learning techniques) make it possible to automatically recognize the patterns and represent the given data for the;

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Deep Learning Models for Medical Imaging

Deep Learning Models for Medical Imaging explains the concepts of Deep Learning (DL) and its importance in medical imaging and/or;

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Deep Learning in Healthcare

current advances in medical image analysis, state-of-the-art DL methods for medical image analysis and real-world, deep learning-based clinical;

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Deep Learning in Healthcare

current advances in medical image analysis, state-of-the-art DL methods for medical image analysis and real-world, deep learning-based clinical;

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Smart Healthcare Systems

related to medical informatics. This book would provide insight to the learners about Machine Learning, Data Analytics, and Sustainable Computing;

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Hardware Architectures for Deep Learning

, and IoT solutions. Efficient implementation of neural networks to support complex deep learning-based applications is a complex challenge for;

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Introductory Pathophysiology For Nursing And Healthcare Prof

Introduction to Pathophysiology for Nurses and Healthcare Professionals is the most comprehensive visual survey of pathophysiology;

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Practical MATLAB Deep Learning

provides an introduction to deep learning and using MATLAB's deep-learning toolboxes. In this book, you'll see how these toolboxes provide the;

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Practical MATLAB Deep Learning

provides an introduction to deep learning and using MATLAB's deep-learning toolboxes. In this book, yoüll see how these toolboxes provide the;

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Machine Learning and Deep Learning in Real-Time Applications

have proven to be vital solutions to numerous real-world issues are machine learning and deep learning. These intelligent agents unlock higher;

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Deep Learning and Edge Computing Solutions for High Performance Computing

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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Handbook of Computational Intelligence in Biomedical Engineering and Healthcare

of nonlinear/unstructured data on experimental analysis. Presents a comprehensive handbook that covers an Introduction to Computational;

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Artificial Intelligence for the Internet of Health Things

This book discusses research in Artificial Intelligence for the Internet of Health Things. It investigates and explores the possible;

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Deep Reinforcement Learning with Python

learning developers and architects who want to stay ahead of the curve in the field of AI and deep learning.;

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