Machine Learning and the Internet of Medical Things in Healthcare 1st Edition – Ebook Instant Download/Delivery ISBN(s): 9780128212295,0128212292,9780128232170, 012823217X
Product details:
- ISBN-10: 012823217X
- ISBN-13: 9780128232170
- Author: Ahmed A. Elngar, Akansha Singh, Krishna Kant Singh, Mohamed Elhoseny
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.
Table contents:
Chapter 1. Machine learning architecture and framework
Chapter 2. Machine learning in healthcare: review, opportunities and challenges
Chapter 3. Machine learning for biomedical signal processing
Chapter 4. Artificial itelligence in medicine
Chapter 5. Diagnosing of disease using machine learning
Chapter 6. A novel approach of telemedicine for managing fetal condition based on machine learning technology from IoT-based wearable medical device
Chapter 7. IoT-based healthcare delivery services to promote transparency and patient satisfaction in a corporate hospital
Chapter 8. Examining diabetic subjects on their correlation with TTH and CAD: a statistical approach on exploratory results
Chapter 9. Cancer prediction and diagnosis hinged on HCML in IOMT environment
Chapter 10. Parameterization techniques for automatic speech recognition system
Chapter 11. Impact of big data in healthcare system—a quick look into electronic health record systems
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