Implementation of Smart Healthcare Systems using AI, IoT, and Blockchain
- 1st Edition - September 27, 2022
- Editors: Chinmay Chakraborty, Subhendukumar Pani, Mohd Abdul Ahad, Qin Xin
- Language: English
- Paperback ISBN:9 7 8 - 0 - 3 2 3 - 9 1 9 1 6 - 6
- eBook ISBN:9 7 8 - 0 - 3 2 3 - 9 1 9 3 6 - 4
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 imp… Read more
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Request a sales quoteImplementation 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
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
- No. of pages: 298
- Language: English
- Edition: 1
- Published: September 27, 2022
- Imprint: Academic Press
- Paperback ISBN: 9780323919166
- eBook ISBN: 9780323919364
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Chinmay Chakraborty
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Subhendukumar Pani
Dr. Subhendu kumar Pani received his Ph.D. from Utkal University ,Odisha, India. He is working as professor at Krupajal Engineeing College under BPUT, Odisha, India. He has almost 2 decades of teaching and research experience. His research interests include Data mining, Big Data Analysis, web data analytics, Fuzzy Decision Making and Computational Intelligence. He is the recipient of 5 researcher awards. He has published dozens of international journal papers. His professional activities include roles as Book Series Editor, Associate Editor, Editorial board member and/or reviewer of various international journals. He is Associated with a number of conference societies. He has more than 150 international publications, 5 authored books, 15 edited and upcoming books; 20 book chapters into his account. He is a fellow in SSARSC and life member in IE, ISTE, ISCA,OBA.OMS, SMIACSIT, SMUACEE, CSI.
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Mohd Abdul Ahad
QX