Edge-of-Things in Personalized Healthcare Support Systems discusses and explores state-of-the-art technology developments in storage and sharing of personal healthcare records in a secure manner that is globally distributed to incorporate best healthcare practices. The book presents research into the identification of specialization and expertise among healthcare professionals, the sharing of records over the cloud, access controls and rights of shared documents, document privacy, as well as edge computing techniques which help to identify causes and develop treatments for human disease. The book aims to advance personal healthcare, medical diagnosis, and treatment by applying IoT, cloud, and edge computing technologies in association with effective data analytics.

Provides an in-depth analysis of how to model and design applications for state-of-the-art healthcare systems
Discusses and explores the social impact of the intertwined use of emerging IT technologies for healthcare
Covers system design and software building principles for healthcare using IoT, cloud, and edge computing technologies with the support of effective and efficient data analytics strategies
Explores the latest algorithms using machine and deep learning in the areas of cloud, edge computing, IoT, and healthcare analytics

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Yes, you can access Edge-of-Things in Personalized Healthcare Support Systems by Rajeswari Sridhar,G. R. Gangadharan,Michael Sheng,Rajan Shankaran in PDF and/or ePUB format, as well as other popular books in Computer Science & Artificial Intelligence (AI) & Semantics. We have over one million books available in our catalogue for you to explore.

Information

Publisher

Academic Press

Year

2022

ISBN

9780323907088

Topic

Computer Science

Subtopic

Artificial Intelligence (AI) & Semantics

Index

Computer Science

Cover image
Title page
Table of Contents
Copyright
List of contributors
Chapter 1. Exploring the dichotomy on opportunities and challenges of smart technologies in healthcare systems
Chapter 2. The architecture of smartness in healthcare
Chapter 3. Personalized decision support for cardiology based on deep learning: an overview
Chapter 4. Data-driven models for cuffless blood pressure estimation using ECG and PPG signals
Chapter 5. A recommendation system for the prediction of drug–target associations
Chapter 6. Towards building an efficient deep neural network based on YOLO detector for fetal head localization from ultrasound images
Chapter 7. FunNet: a deep learning network for the detection of age-related macular degeneration
Chapter 8. An improved method for automated detection of microaneurysm in retinal fundus images
Chapter 9. Integration and study of map matching algorithms in healthcare services for cognitive impaired person
Chapter 10. Emotion-recognition-based music therapy system using electroencephalography signals
Chapter 11. Feedback context-aware pervasive systems in healthcare management: a Boolean Network approach
Chapter 12. Mental stress detection using a wearable device and heart rate variability monitoring
Chapter 13. Knowledge discovery and presentation using social media analysis in health domain
Chapter 14. Computationally efficient integrity verification for shared data in cloud storage
Chapter 15. Intelligent analysis of multimedia healthcare data using natural language processing and deep-learning techniques
Chapter 16. Measurement of the effects of parks on air pollution in megacities: do parks support health betterment?
Chapter 17. Internet of Things use case applications for COVID-19
Index