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Deep Learning in Smart eHealth Systems

Evaluation Leveraging for Parkinson's Disease

Language EnglishEnglish
Book Paperback
Book Deep Learning in Smart eHealth Systems Asma Channa
Libristo code: 44048506
Publishers Springer, Berlin, January 2024
One of the main benefits of this book is that it presents a comprehensive and innovative eHealth fra... Full description
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One of the main benefits of this book is that it presents a comprehensive and innovative eHealth framework that leverages deep learning and IoT wearable devices for the evaluation of Parkinson's disease patients. This framework offers a new way to assess and monitor patients' motor deficits in a personalized and automated way, improving the efficiency and accuracy of diagnosis and treatment.Compared to other books on eHealth and Parkinson's disease, this book offers a unique perspective and solution to the challenges facing patients and healthcare providers. It combines state-of-the-art technology, such as wearable devices and deep learning algorithms, with clinical expertise to develop a personalized and efficient evaluation framework for Parkinson's disease patients.This book provides a roadmap for the integration of cutting-edge technology into clinical practice, paving the way for more effective and patient-centered healthcare. To understand this book, readers should have a basic knowledge of eHealth, IoT, deep learning, and Parkinson's disease. However, the book provides clear explanations and examples to make the content accessible to a wider audience, including researchers, practitioners, and students interested in the intersection of technology and healthcare.

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About the book

Full name Deep Learning in Smart eHealth Systems
Language English
Binding Book - Paperback
Date of issue 2024
Number of pages 108
EAN 9783031450020
Libristo code 44048506
Publishers Springer, Berlin
Weight 197
Dimensions 155 x 235
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