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Deep Learning, Machine Learning and IoT in Biomedical and Health Informatics

Deep Learning, Machine Learning and IoT in Biomedical and Health Informatics

Author: Sujata Dash

Publisher: CRC Press

ISBN: 9781000534054

Category: Computers

Page: 382

View: 418

Biomedical and Health Informatics is an important field that brings tremendous opportunities and helps address challenges due to an abundance of available biomedical data. This book examines and demonstrates state-of-the-art approaches for IoT and Machine Learning based biomedical and health related applications. This book aims to provide computational methods for accumulating, updating and changing knowledge in intelligent systems and particularly learning mechanisms that help us to induce knowledge from the data. It is helpful in cases where direct algorithmic solutions are unavailable, there is lack of formal models, or the knowledge about the application domain is inadequately defined. In the future IoT has the impending capability to change the way we work and live. These computing methods also play a significant role in design and optimization in diverse engineering disciplines. With the influence and the development of the IoT concept, the need for AI (artificial intelligence) techniques has become more significant than ever. The aim of these techniques is to accept imprecision, uncertainties and approximations to get a rapid solution. However, recent advancements in representation of intelligent IoTsystems generate a more intelligent and robust system providing a human interpretable, low-cost, and approximate solution. Intelligent IoT systems have demonstrated great performance to a variety of areas including big data analytics, time series, biomedical and health informatics. This book will be very beneficial for the new researchers and practitioners working in the biomedical and healthcare fields to quickly know the best performing methods. It will also be suitable for a wide range of readers who may not be scientists but who are also interested in the practice of such areas as medical image retrieval, brain image segmentation, among others. • Discusses deep learning, IoT, machine learning, and biomedical data analysis with broad coverage of basic scientific applications • Presents deep learning and the tremendous improvement in accuracy, robustness, and cross- language generalizability it has over conventional approaches • Discusses various techniques of IoT systems for healthcare data analytics • Provides state-of-the-art methods of deep learning, machine learning and IoT in biomedical and health informatics • Focuses more on the application of algorithms in various real life biomedical and engineering problems
Deep Learning in Biomedical and Health Informatics
Language: en
Pages: 224

Deep Learning in Biomedical and Health Informatics

Authors: M. A. Jabbar, Ajith Abraham, Onur Dogan, Ana Maria Madureira, Sanju Tiwari
Categories: Computers
Type: BOOK - Published: 2021-09-27 - Publisher: CRC Press

This book provides a proficient guide on the relationship between Artificial Intelligence (AI) and healthcare and how AI is changing all aspects of the healthcare industry. It also covers how deep learning will help in diagnosis and the prediction of disease spread. The editors present a comprehensive review of research
Deep Learning Techniques for Biomedical and Health Informatics
Language: en
Pages: 367

Deep Learning Techniques for Biomedical and Health Informatics

Authors: Basant Agarwal, Valentina Emilia Balas, Lakhmi C. Jain, Ramesh Chandra Poonia, Manisha Sharma
Categories: Science
Type: BOOK - Published: 2020-01-14 - Publisher: Academic Press

Deep Learning Techniques for Biomedical and Health Informatics provides readers with the state-of-the-art in deep learning-based methods for biomedical and health informatics. The book covers not only the best-performing methods, it also presents implementation methods. The book includes all the prerequisite methodologies in each chapter so that new researchers and
Deep Learning, Machine Learning and IoT in Biomedical and Health Informatics
Language: en
Pages: 382

Deep Learning, Machine Learning and IoT in Biomedical and Health Informatics

Authors: Sujata Dash, Subhendu Kumar Pani, Joel J. P. C. Rodrigues, Babita Majhi
Categories: Computers
Type: BOOK - Published: 2022-02-11 - Publisher: CRC Press

Biomedical and Health Informatics is an important field that brings tremendous opportunities and helps address challenges due to an abundance of available biomedical data. This book examines and demonstrates state-of-the-art approaches for IoT and Machine Learning based biomedical and health related applications. This book aims to provide computational methods for
Deep Learning in Biomedical and Health Informatics
Language: en
Pages: 224

Deep Learning in Biomedical and Health Informatics

Authors: M. A. Jabbar, Ajith Abraham, Onur Dogan, Ana Maria Madureira, Sanju Tiwari
Categories: Computers
Type: BOOK - Published: 2021-09-26 - Publisher: CRC Press

This book provides a proficient guide on the relationship between Artificial Intelligence (AI) and healthcare and how AI is changing all aspects of the healthcare industry. It also covers how deep learning will help in diagnosis and the prediction of disease spread. The editors present a comprehensive review of research
Deep Learning in Biomedical and Health Informatics
Language: en
Pages:

Deep Learning in Biomedical and Health Informatics

Authors: M. Jabbar
Categories: Artificial intelligence
Type: BOOK - Published: 2021-09 - Publisher: CRC Press is

"This book provides a proficient guide on the relationship between AI and healthcare and how AI is changing all aspects of the health care industry. It also covers how deep learning will help in diagnosis and prediction of disease spread"--

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