Machine Learning and the Internet of Medical Things in Healthcare
- Publisher's listprice EUR 175.00
-
72 581 Ft (69 125 Ft + 5% VAT)
The price is estimated because at the time of ordering we do not know what conversion rates will apply to HUF / product currency when the book arrives. In case HUF is weaker, the price increases slightly, in case HUF is stronger, the price goes lower slightly.
- Discount 20% (cc. 14 516 Ft off)
- Discounted price 58 065 Ft (55 300 Ft + 5% VAT)
Subcribe now and take benefit of a favourable price.
Subscribe
72 581 Ft
Availability
printed on demand
Why don't you give exact delivery time?
Delivery time is estimated on our previous experiences. We give estimations only, because we order from outside Hungary, and the delivery time mainly depends on how quickly the publisher supplies the book. Faster or slower deliveries both happen, but we do our best to supply as quickly as possible.
Product details:
- Publisher Elsevier Science
- Date of Publication 19 April 2021
- ISBN 9780128212295
- Binding Paperback
- No. of pages290 pages
- Size 234x190 mm
- Weight 610 g
- Language English 155
Categories
Long description:
Machine Learning and the Internet of Medical Things in Healthcare discusses the applications and challenges of machine learning for healthcare applications. The book provides a platform for presenting machine learning-enabled healthcare techniques and offers a mathematical and conceptual background of the latest technology. It describes machine learning techniques along with the emerging platform of the Internet of Medical Things used by practitioners and researchers worldwide.
The book includes deep feed forward networks, regularization, optimization algorithms, convolutional networks, sequence modeling, and practical methodology. It also presents the concepts of the Internet of Things, the set of technologies that develops traditional devices into smart devices. Finally, the book offers research perspectives, covering the convergence of machine learning and IoT. It also presents the application of these technologies in the development of healthcare frameworks.
MoreTable of Contents:
1. Machine Learning Architecture and Framework
2. Machine Learning in Healthcare: Review, Opportunities and Challenges
3. Machine Learning for Biomedical Signal Processing
4. Artificial Intelligence in Medicine
5. Diagnosing of Disease Using Machine Learning
6. A Novel Approach of Telemedicine for Managing Fetal Condition based on Machine Learning Technology from Iot Based Wearable Medical Device
7. Iot Based Healthcare Delivery Services to Promote Transparency and Patient Satisfaction in a Corporate Hospital
8. Examining Diabetic Subjects on Their Correlation with TTH and CAD: A Statistical Approach on Exploratory Results
9. Cancer Prediction and Diagnosis Hinged on HCML in IOMT Environment
10. Parameterization Techniques for Automatic Speech Recognition System
11. Impact of Big Data in Healthcare System: A Quick Look into Electronic Health Record Systems
