Implementation of Smart Healthcare Systems using AI, IoT, and Blockchain

Chinmay Chakraborty, Subhendukumar Pani, Mohd Abdul Ahad, Qin Xin, Chinmay Chakraborty, Subhendukumar Pani, Mohd Abdul Ahad, Qin Xin

• Publisher: Academic Press
• Year: 2022
• Print ISBN:
  9780323919166
• eBook ISBN:
  9780323919364
• Topic: Technology & Engineering
• Subtopic: Artificial Intelligence (AI) & Semantics
• Index: Technology & Engineering

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. - 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

Table of contents

• Implementation of Smart Healthcare Systems using AI, IoT, and Blockchain
• Chapter 1 Internet of medical things for enhanced smart healthcare systems
• Chapter 2 Sensor and actuators for smart healthcare in post-COVID-19 world
• Chapter 3 Voice signal-based disease diagnosis using IoT and learning algorithms for healthcare
• Chapter 4 Intelligent and sustainable approaches for medical big data management
• Chapter 5 A predictive method for emotional sentiment analysis by machine learning from electroencephalography of brainwave data
• Chapter 6 Role of artificial intelligence and internet of things based medical diagnostics smart health care system for a post-COVID-19 world
• Chapter 7 Windowed modified discrete cosine transform based textural descriptor approach for voice disorder detection
• Chapter 8 Internet of medical things for abnormality detection in infants using mobile phone app with cry signal analysis
• Chapter 9 Internet of things based effective wearable healthcare monitoring system for remote areas
• Chapter 10 Blockchain for transparent, privacy preserved, and secure health data management
• Chapter 11 Security and privacy concerns in smart healthcare system
• Index