Machine Learning and IoT Applications for Health Informatics

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Release : 2024-10-31
Genre : Business & Economics
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Book Rating : 502/5 ( reviews)

Machine Learning and IoT Applications for Health Informatics - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Machine Learning and IoT Applications for Health Informatics write by Pijush Samui. This book was released on 2024-10-31. Machine Learning and IoT Applications for Health Informatics available in PDF, EPUB and Kindle. "Recently medical informatics, especially health informatics, has received various applications from machine learning and IoT. The applications of machine learning and IoT technology have wholly changed the predictive capability of the concerned disease. The input data to the machine learning and IoT-based devices are sometimes not structured. They could be unstructured as well; therefore, analyzing such unstructured data has significance. These data could be image related such as X-Ray images, ECG images, and others. Therefore, this edited book will focus on structure and unstructured data applications. Sickness and health-related data collection are also significant befinits of health analytics. Finally, further progress in the patients' health is made, and decisions are taken on further treatments based on the data. The Internet of Things (IoT) has emerged as a preferred solution to many emerging problems in the last few years. This colligated ecosystem in electronic devices can be worn as accessories and embedded in clothing. Also, the IoT-related apps have helped the data collection process and contributed to information technology. The interesting fact is that IoT applications can be found more in the healthcare system, especially healthcare informatics. IoT-powered applications in healthcare immensely benefit patients and physicians, hospitals, and overall healthcare systems. The wearables devices that are enabled with machine learning and IoT are changing the form of wearables like fitness bands, measuring blood pressure, and checking heart rate monitoring and glucometer concepts"--

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

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Release : 2022-02-10
Genre : Computers
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Book Rating : 057/5 ( reviews)

Deep Learning, Machine Learning and IoT in Biomedical and Health Informatics - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Deep Learning, Machine Learning and IoT in Biomedical and Health Informatics write by Sujata Dash. This book was released on 2022-02-10. Deep Learning, Machine Learning and IoT in Biomedical and Health Informatics available in PDF, EPUB and Kindle. 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

Artificial Intelligence and Internet of Things

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Release : 2021-08-25
Genre : Health & Fitness
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Book Rating : 252/5 ( reviews)

Artificial Intelligence and Internet of Things - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Artificial Intelligence and Internet of Things write by Lalit Mohan Goyal. This book was released on 2021-08-25. Artificial Intelligence and Internet of Things available in PDF, EPUB and Kindle. This book reveals the applications of AI and IoT in smart healthcare and medical systems. It provides core principles, algorithms, protocols, emerging trends, security problems, and the latest e-healthcare services findings. The book also provides case studies and discusses how AI and IoT applications such as wireless devices, sensors, and deep learning could play a major role in assisting patients, doctors, and pharmaceutical staff. It focuses on how to use AI and IoT to keep patients safe and healthy and, at the same time, empower physicians to deliver superlative care. This book is written for researchers and practitioners working in the information technology, computer science, and medical equipment manufacturing industry for products and services having basic- and high-level AI and IoT applications. The book is also a useful guide for academic researchers and students.

Machine Learning and IoT Applications for Health Informatics

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Release : 2024-10-31
Genre : Computers
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Book Rating : 127/5 ( reviews)

Machine Learning and IoT Applications for Health Informatics - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Machine Learning and IoT Applications for Health Informatics write by Pijush Samui. This book was released on 2024-10-31. Machine Learning and IoT Applications for Health Informatics available in PDF, EPUB and Kindle. This book brings together leading experts from around the world to explore the transformative potential of Machine Learning (ML) and the Internet of Things (IoT) in healthcare. It provides a platform for studying a future where healthcare becomes more precise, personalized, and accessible for all. The book covers recent advancements that will shape the future of healthcare and how artificial intelligence is revolutionizing disease detection, from analyzing chest X-rays for pneumonia to solving the secrets of our genes. It investigates the transformative potential of smart devices, real-time analysis of heart data, and personalized treatment plan creation. It shows how ML and IoT work and presents real-world examples of how they are leading to earlier and more accurate diagnoses and personalized treatments. Therefore, this edited book will be an invaluable resource for researchers, healthcare professionals, data scientists, or simply someone passionate about the future of healthcare. Readers will discover the exciting possibilities that lie ahead at the crossroads of ML, IoT, and health informatics.

Machine Learning and the Internet of Medical Things in Healthcare

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Release : 2021-04-14
Genre : Science
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Book Rating : 17X/5 ( reviews)

Machine Learning and the Internet of Medical Things in Healthcare - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Machine Learning and the Internet of Medical Things in Healthcare write by Krishna Kant Singh. This book was released on 2021-04-14. Machine Learning and the Internet of Medical Things in Healthcare available 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