Implementation of Smart Healthcare Systems using AI, IoT, and Blockchain provides imperative research on the development of data fusion and analytics for healthcare and their implementation into current issues in a real-time environment. While highlighting IoT, bio-inspired computing, big data, and evolutionary programming, the book explores various concepts and theories of data fusion, IoT, and Big Data Analytics. It also investigates the challenges and methodologies required to integrate data from multiple heterogeneous sources, analytical platforms in healthcare sectors.
This book is unique in the way that it provides useful insights into the implementation of a smart and intelligent healthcare system in a post-Covid-19 world using enabling technologies like Artificial Intelligence, Internet of Things, and blockchain in providing transparent, faster, secure and privacy preserved healthcare ecosystem for the masses.
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1. Artificial Intelligence enabled Internet of Medical Things for Enhanced Healthcare Systems
2. Integrating Sensor, Actuators and IoT for for Smart Healthcare in Post COVID-19 World
3. Voice Signal based Disease Diagnosis using IoT and Learning Algorithms for Healthcare
4. Intelligent and sustainable approaches for medical big data management
5. A Predictive method for Emotional Sentiment Analysis by Machine Learning from EEG of Brainwave Data
6. Role of AI and IoT based medical diagnostics smart health care system for post-Covid-19 world
7. Windowed Modified Discrete Cosine Transform based Textural Descriptor approach for Voice Disorder Detection
8. Internet of Medical Things for Abnormality detection in Infants using Mobile Phone App with cry Signal Analysis
9. IoT based Effective Wearable Healthcare Monitoring System for Remote Areas
10. Blockchain for Transparent, Privacy Preserved and Secure Health Data Management
11. SPSHS: Security and Privacy Concerns in Smart Healthcare System
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Provides useful insights into the implementation of a smart and intelligent healthcare system
Explains how IoT can be integrated into the healthcare ecosystem for better diagnostics, monitoring and treatment
Includes AI for predictive and preventive healthcare
Describes blockchain for managing healthcare data to provide transparency, security and distributed storage
Offers effective remote diagnostics and telemedicine approaches
Highlights the importance of gold standard medical datasets for improved modeling and analysis
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Produktdetaljer
ISBN
9780323919166
Publisert
2022-09-27
Utgiver
Vendor
Academic Press Inc
Vekt
630 gr
Høyde
235 mm
Bredde
191 mm
Aldersnivå
P, 06
Språk
Product language
Engelsk
Format
Product format
Heftet
Antall sider
298
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