Deep Learning in Smart eHealth Systems : Evaluation Leveraging for Parkinson’s Disease / / by Asma Channa, Nirvana Popescu
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| Autore: |
Channa Asma
|
| Titolo: |
Deep Learning in Smart eHealth Systems : Evaluation Leveraging for Parkinson’s Disease / / by Asma Channa, Nirvana Popescu
|
| Pubblicazione: | Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2024 |
| Edizione: | 1st ed. 2024. |
| Descrizione fisica: | 1 online resource (102 pages) |
| Disciplina: | 006.31 |
| Soggetto topico: | Machine learning |
| Medical informatics | |
| Cloud computing | |
| Computer science | |
| Image processing - Digital techniques | |
| Computer vision | |
| Machine Learning | |
| Health Informatics | |
| Cloud Computing | |
| Theory and Algorithms for Application Domains | |
| Computer Imaging, Vision, Pattern Recognition and Graphics | |
| Altri autori: |
PopescuNirvana
|
| Nota di contenuto: | 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. |
| Sommario/riassunto: | 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. |
| Titolo autorizzato: | Deep Learning in Smart EHealth Systems |
| ISBN: | 3-031-45003-5 |
| Formato: | Materiale a stampa  |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione: | Inglese |
| Record Nr.: | 9910760250603321 |
| Lo trovi qui: | Univ. Federico II |
| Opac: | Controlla la disponibilità qui |
Serie:
SpringerBriefs in Computer Science, . 2191-5776