EAN: 9783031450020

SPRINGERBRIEFS IN COMPUTER SCIENCE DEEP LEARN...

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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