Blockchain And Iot Based Smart Healthcare Systems

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

Implementation of Smart Healthcare Systems using AI, IoT, and Blockchain
Author :
Publisher : Academic Press
Total Pages : 299
Release :
ISBN-10 : 9780323919364
ISBN-13 : 0323919367
Rating : 4/5 (367 Downloads)

Book Synopsis Implementation of Smart Healthcare Systems using AI, IoT, and Blockchain by : Chinmay Chakraborty

Download or read book Implementation of Smart Healthcare Systems using AI, IoT, and Blockchain written by Chinmay Chakraborty and published by Academic Press. This book was released on 2022-09-27 with total page 299 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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


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Health information about any patent is extremely critical. As there are many malicious users and misuses of health data, this information is not shared amongst