
Designing Intelligent Healthcare Systems, Products, and Services Using Disruptive Technologies and Health Informatics
- 280 pages
- English
- ePUB (mobile friendly)
- Available on iOS & Android
Designing Intelligent Healthcare Systems, Products, and Services Using Disruptive Technologies and Health Informatics
About this book
Disruptive technologies are gaining importance in healthcare systems and health informatics. By discussing computational intelligence, IoT, blockchain, cloud and big data analytics, this book provides support to researchers and other stakeholders involved in designing intelligent systems used in healthcare, its products, and its services.
This book offers both theoretical and practical application-based chapters and presents novel technical studies on designing intelligent healthcare systems, products, and services. It offers conceptual and visionary content comprising hypothetical and speculative scenarios and will also include recently developed disruptive holistic techniques in healthcare and the monitoring of physiological data. Metaheuristic computational intelligence-based algorithms for analysis, diagnosis, and prevention of disease through disruptive technologies are also provided.
Designing Intelligent Healthcare Systems, Products, and Services Using Disruptive Technologies and Health Informatics is written for researchers, academicians, and professionals to bring them up to speed on current research endeavours, as well as to introduce hypothetical and speculative scenarios.
Frequently asked questions
- Essential is ideal for learners and professionals who enjoy exploring a wide range of subjects. Access the Essential Library with 800,000+ trusted titles and best-sellers across business, personal growth, and the humanities. Includes unlimited reading time and Standard Read Aloud voice.
- Complete: Perfect for advanced learners and researchers needing full, unrestricted access. Unlock 1.4M+ books across hundreds of subjects, including academic and specialized titles. The Complete Plan also includes advanced features like Premium Read Aloud and Research Assistant.
Please note we cannot support devices running on iOS 13 and Android 7 or earlier. Learn more about using the app.
Information
Table of contents
- Cover
- Half Title
- Series
- Title
- Copyright
- Contents
- Editor Biographies
- List of Contributors
- Chapter 1 Telemedicine (e-Health, m-Health): Requirements, Challenges and Applications
- Chapter 2 Future Risk Analysis of the Health Public Sector During COVID-19 Period (2020 to March 2021)
- Chapter 3 Role of Advanced Technologies in Gait Analysis and Its Importance in Healthcare
- Chapter 4 Emerging Disruptive Technologies and Their Impact on Health Informatics
- Chapter 5 Scaling Up Telemedicine in India: Moving Towards Intelligent Healthcare via Disruptions
- Chapter 6 A Wearable ECG Sensor for Intelligent Cardiovascular Health Informatics
- Chapter 7 Recent Trends in Wearable Technologies, Challenges and Opportunities
- Chapter 8 Intelligent Depression Detection System Using Effective Hyper-Scanning Techniques
- Chapter 9 Design of an Intelligent System for Diabetes Prediction by Integrating Rough Set Theory and Genetic Algorithm
- Chapter 10 Blockchain for the Healthcare Sector: Application and Challenges
- Chapter 11 Blockchain-Enabled Secured Medical Supply Chain Management
- Chapter 12 Big Data in Healthcare: Technological Implications and Challenges
- Chapter 13 An Efficient System for Predictive Analysis on Brain Cancer Using Machine Learning and Deep Learning Techniques
- Chapter 14 A Review Study on Different Machine Learning Algorithms Used for COVID Outbreak Prediction
- Chapter 15 Designing a Rough-PSO–Based COVID-19 Prediction Model
- Chapter 16 Transitions in Machine Learning Approaches for Healthcare-Sector Applications
- Index