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portada Deep Learning in Smart Ehealth Systems: Evaluation Leveraging for Parkinson's Disease
Type
Physical Book
Author
Publisher
Language
English
Pages
94
Format
Paperback
Dimensions
23.2 x 15.2 x 0.8 cm
Weight
0.20 kg.
ISBN13
9783031450020
Categories

Deep Learning in Smart Ehealth Systems: Evaluation Leveraging for Parkinson's Disease

Asma Channa (Author) · Nirvana Popescu (Author) · Springer · Paperback

Deep Learning in Smart Ehealth Systems: Evaluation Leveraging for Parkinson's Disease - Channa, Asma ; Popescu, Nirvana

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Synopsis "Deep Learning in Smart Ehealth Systems: Evaluation Leveraging for Parkinson's Disease"

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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