eBook - ePub
Computational Intelligence Aided Systems for Healthcare Domain
- 414 pages
- English
- ePUB (mobile friendly)
- Available on iOS & Android
eBook - ePub
Computational Intelligence Aided Systems for Healthcare Domain
About this book
This book covers recent advances in artificial intelligence, smart computing, and their applications in augmenting medical and health care systems. It will serve as an ideal reference text for graduate students and academic researchers in diverse engineering fields including electrical, electronics and communication, computer, and biomedical.
This book:
- Presents architecture, characteristics, and applications of artificial intelligence and smart computing in health care systems
- Highlights privacy issues faced in health care and health informatics using artificial intelligence and smart computing technologies
- Discusses nature-inspired computing algorithms for the brain-computer interface
- Covers graph neural network application in the medical domain
- Provides insights into the state-of-the-art artificial intelligence and smart computing enabling and emerging technologies
This book discusses recent advances and applications of artificial intelligence and smart technologies in the field of healthcare. It highlights privacy issues faced in health care and health informatics using artificial intelligence and smart computing technologies. It covers nature-inspired computing algorithms such as genetic algorithms, particle swarm optimization algorithms, and common scrambling algorithms to study brain-computer interfaces. It will serve as an ideal reference text for graduate students and academic researchers in the fields of electrical engineering, electronics and communication engineering, computer engineering, and biomedical engineering.
Frequently asked questions
Yes, you can cancel anytime from the Subscription tab in your account settings on the Perlego website. Your subscription will stay active until the end of your current billing period. Learn how to cancel your subscription.
No, books cannot be downloaded as external files, such as PDFs, for use outside of Perlego. However, you can download books within the Perlego app for offline reading on mobile or tablet. Learn more here.
Perlego offers two plans: Essential and Complete
- 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.
We are an online textbook subscription service, where you can get access to an entire online library for less than the price of a single book per month. With over 1 million books across 1000+ topics, we’ve got you covered! Learn more here.
Look out for the read-aloud symbol on your next book to see if you can listen to it. The read-aloud tool reads text aloud for you, highlighting the text as it is being read. You can pause it, speed it up and slow it down. Learn more here.
Yes! You can use the Perlego app on both iOS or Android devices to read anytime, anywhere — even offline. Perfect for commutes or when you’re on the go.
Please note we cannot support devices running on iOS 13 and Android 7 or earlier. Learn more about using the app.
Please note we cannot support devices running on iOS 13 and Android 7 or earlier. Learn more about using the app.
Yes, you can access Computational Intelligence Aided Systems for Healthcare Domain by Akshansh Gupta, Hanuman Verma, Mukesh Prasad, Jyoti Singh Kirar, CT Lin, Akshansh Gupta,Hanuman Verma,Mukesh Prasad,Jyoti Singh Kirar,CT Lin in PDF and/or ePUB format, as well as other popular books in Computer Science & Biotechnology in Medicine. We have over one million books available in our catalogue for you to explore.
Information
Table of contents
- Cover
- Half Title
- Title Page
- Copyright Page
- Dedication
- Table of Contents
- Preface
- Acknowledgements
- About the editors
- List of contributors
- 1. Introduction to computational methods: Machine and deep learning perspective
- 2. Machine learning applications in healthcare
- 3. Deep multi-view learning for healthcare domain
- 4. Precision healthcare in the era of IoT and big data: Monitoring of self-care activities
- 5. Machine learning approach for classification of stroke patients using clinical data
- 6. A comparative analysis of noise robust Fuzzy Clustering algorithms for medical image segmentation
- 7. Exploring the role of AI, IoT and BC during COVID-19: A bibliometric and network analysis
- 8. Biomedical named entity recognition using natural language processing
- 9. Image segmentation of skin disease using deep learning approach
- 10. Multimodality dementia detection system using machine and deep learning
- 11. Heart attack analysis and prediction system
- 12. Utility of exploratory data analysis for improved diabetes prediction
- 13. Fundus image classification for diabetic retinopathy using deep learning
- 14. Emerging role of artificial intelligence in precision oncology
- 15. Artificial intelligence in Precision Oncology
- 16. Computer-aided breast cancer diagnosis using machine learning and deep learning methods: A comprehensive survey
- 17. Complex dynamical interplay of health, climate and conflicts with data-driven approach
- Index