logo

EbookBell.com

Most ebook files are in PDF format, so you can easily read them using various software such as Foxit Reader or directly on the Google Chrome browser.
Some ebook files are released by publishers in other formats such as .awz, .mobi, .epub, .fb2, etc. You may need to install specific software to read these formats on mobile/PC, such as Calibre.

Please read the tutorial at this link:  https://ebookbell.com/faq 


We offer FREE conversion to the popular formats you request; however, this may take some time. Therefore, right after payment, please email us, and we will try to provide the service as quickly as possible.


For some exceptional file formats or broken links (if any), please refrain from opening any disputes. Instead, email us first, and we will try to assist within a maximum of 6 hours.

EbookBell Team

Deep Learning In Smart Ehealth Systems Evaluation Leveraging For Parkinsons Disease Asma Channa

  • SKU: BELL-53573328
Deep Learning In Smart Ehealth Systems Evaluation Leveraging For Parkinsons Disease Asma Channa
$ 31.00 $ 45.00 (-31%)

4.1

70 reviews

Deep Learning In Smart Ehealth Systems Evaluation Leveraging For Parkinsons Disease Asma Channa instant download after payment.

Publisher: Springer
File Extension: PDF
File size: 3.3 MB
Pages: 107
Author: Asma Channa, Nirvana Popescu
ISBN: 9783031450020, 3031450027
Language: English
Year: 2023

Product desciption

Deep Learning In Smart Ehealth Systems Evaluation Leveraging For Parkinsons Disease Asma Channa by Asma Channa, Nirvana Popescu 9783031450020, 3031450027 instant download after payment.

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.

Related Products