Machine Learning and the Internet of Medical Things in Healthcare

Download or Read online Machine Learning and the Internet of Medical Things in Healthcare full in PDF, ePub and kindle. This book written by Krishna Kant Singh and published by Academic Press which was released on 26 April 2021 with total pages 290. We cannot guarantee that Machine Learning and the Internet of Medical Things in Healthcare book is available in the library, click Get Book button to download or read online books. Join over 650.000 happy Readers and READ as many books as you like.

Machine Learning and the Internet of Medical Things in Healthcare
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Publisher : Academic Press
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ISBN : 9780128232170
Pages : 290 pages
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Download or Read Online Machine Learning and the Internet of Medical Things in Healthcare in PDF, Epub and Kindle

Machine Learning and the Internet of Medical Things in Healthcare discusses the applications and challenges of machine learning for healthcare applications. The book provides a platform for presenting machine learning-enabled healthcare techniques and offers a mathematical and conceptual background of the latest technology. It describes machine learning techniques along with the emerging platform of the Internet of Medical Things used by practitioners and researchers worldwide. The book includes deep feed forward networks, regularization, optimization algorithms, convolutional networks, sequence modeling, and practical methodology. It also presents the concepts of the Internet of Things, the set of technologies that develops traditional devices into smart devices. Finally, the book offers research perspectives, covering the convergence of machine learning and IoT. It also presents the application of these technologies in the development of healthcare frameworks. Provides an introduction to the Internet of Medical Things through the principles and applications of machine learning Explains the functions and applications of machine learning in various applications such as ultrasound imaging, biomedical signal processing, robotics, and biomechatronics Includes coverage of the evolution of healthcare applications with machine learning, including Clinical Decision Support Systems, artificial intelligence in biomedical engineering, and AI-enabled connected health informatics, supported by real-world case studies

Machine Learning and the Internet of Medical Things in Healthcare

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