Deep Learning and IoT in Healthcare Systems
Paradigms and Applications
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Product details:
- Edition number 1
- Publisher Apple Academic Press
- Date of Publication 16 December 2021
- ISBN 9781771889322
- Binding Hardback
- No. of pages348 pages
- Size 234x156 mm
- Weight 694 g
- Language English
- Illustrations 75 Illustrations, black & white; 8 Illustrations, color; 6 Halftones, black & white; 69 Line drawings, black & white; 8 Line drawings, color; 23 Tables, black & white 221
Categories
Short description:
This new volume discusses the applications and challenges of deep learning and the internet of things for applications in healthcare. It describes deep learning techniques along with IoT used by practitioners and researchers worldwide.
MoreLong description:
This new volume discusses the applications and challenges of deep learning and the internet of things for applications in healthcare. It describes deep learning techniques in conjunction with IoT used by practitioners and researchers worldwide.
The authors explore the convergence of IoT and deep learning to enable things to communicate, share information, and coordinate decisions. The book includes deep feedforward networks, regularization, optimization algorithms, convolutional networks, sequence modeling, and practical methodology. Chapters look at assistive devices in healthcare, alerting and detection devices, energy efficiency in using IoT, data mining for gathering health information for individuals with autism, IoT for mobile applications, and more. The text also offers mathematical and conceptual background that presents the latest technology as well as a selection of case studies.
Table of Contents:
1. Deep Learning for Healthcare 2. Role of AI in Healthcare 3. Case Studies: Healthcare and Deep Learning 4. Assistive Devices and IoT in Healthcare Functions 5. Impact of IoT in Healthcare-Assistive Devices 6. Smart Fall Detection Systems for Elderly Care 7. Smart Sensors Transform Healthcare System 8. Healthcare Applications of the Internet of Things (IoT) 9. Mobile-App-Enabled Systems for Healthcare 10. Energy-Efficient Network Design for Healthcare Services 11. Applying Data Mining to Detect the Mental State and Small Muscle Movements for Individuals with Autism Spectrum Disorder (ASD)
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