Machine Learning for Critical Internet of Medical Things [E-Book] : Applications and Use Cases / edited by Fadi Al-Turjman, Anand Nayyar.
This book discusses the applications, challenges, and future trends of machine learning in medical domain, including both basic and advanced topics. The book presents how machine learning is helpful in smooth conduction of administrative processes in hospitals, in treating infectious diseases, and i...
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Full text |
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Personal Name(s): | Al-Turjman, Fadi, editor |
Nayyar, Anand, editor | |
Edition: |
1st edition 2022. |
Imprint: |
Cham :
Springer,
2022
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Physical Description: |
X, 261 pages 89 illustrations, 79 illustrations in color (online resource) |
Note: |
englisch |
ISBN: |
9783030809287 |
DOI: |
10.1007/978-3-030-80928-7 |
Subject (LOC): |
- Introduction
- An Introduction to Basic Concepts on Machine Learning, its architecture and framework
- Machine Learning Models and techniques
- Diseases diagnosis and prediction using Machine Learning
- Machine learning for Mobile/e-health, Tele-medical and Remote healthcare networks
- Machine learning in biomedical, Neuro-critical and medical image processing field
- AI, Deep learning and machine learning enabled connected health informatics
- Machine learning enabled smart healthcare system
- Machine learning based efficient health monitoring systems
- Machine learning case study for virus disease Ebola, COVID-19 consequences
- CASE Study: Machine Learning in Medical domain for Cervical Cancer
- Use cases and applications of machine learning in medical domain
- Conclusion.