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Machine Learning and the Internet of Medical Things in Healthcare, authored by Krishna Kant Singh, delves into the applications and challenges of machine learning in healthcare. This book serves as 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 provides a comprehensive overview of these techniques, enabling readers to understand their role in healthcare applications.
The book also presents the concepts of the Internet of Things, the set of technologies that develops traditional devices into smart devices. It explains how the Internet of Medical Things (IoMT) is transforming healthcare by enabling real-time data exchange and improving patient care.
Machine Learning and the Internet of Medical Things in Healthcare 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, providing insights into the future of healthcare technology.
The book covers 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. It demonstrates how machine learning is being used in various healthcare applications such as ultrasound imaging, biomedical signal processing, robotics, and biomechatronics.
Machine Learning and the Internet of Medical Things in Healthcare is an essential read for practitioners, researchers, and students interested in the intersection of technology and healthcare. It provides a deep understanding of the current state and future prospects of machine learning and IoT in healthcare, making it a valuable resource for those looking to advance healthcare through technology.
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