TY  - BOOK
AU  - Channa,Asma
AU  - Popescu,Nirvana
ED  - SpringerLink (Online service)
TI  - Deep Learning in Smart eHealth Systems: Evaluation Leveraging for Parkinson’s Disease 
T2  - SpringerBriefs in Computer Science,
SN  - 9783031450037
AV  - Q325.5-.7 
PY  - 2024///
CY  - Cham
PB  - Springer Nature Switzerland, Imprint: Springer
KW  - Machine learning
KW  - Medical informatics
KW  - Cloud Computing
KW  - Computer science
KW  - Image processing
KW  - Digital techniques
KW  - Computer vision
KW  - Machine Learning
KW  - Health Informatics
KW  - Theory and Algorithms for Application Domains
KW  - Computer Imaging, Vision, Pattern Recognition and Graphics
N1  - Unraveling Parkinson’s Disease: Diagnostic Challenges and Severity Assessment -- State-of-the-Art: Wearable Devices and Deep Learning Techniques for Parkinson’s Disease -- Design and Engineering of a Medical Wearable Device for Parkinson’s Disease Management -- Deep Learning Models for Parkinson’s Disease Severity Evaluation -- Transforming Parkinson’s Disease Care: Cloud Service Empowered by ServiceNow Technology -- Predicting Wearing-Off Episodes in Parkinson’s with Multimodal Machine Learning -- Enhancing Gait Analysis Through Wearable Insoles and Deep Learning Techniques -- Conclusion and Prospects for Further Development
N2  - 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
UR  - https://doi.org/10.1007/978-3-031-45003-7
ER  -