Details
| Title | Advances in computational intelligence and robotics (ACIR) book series. — Integrating AI in IoT analytics on the cloud for healthcare applications |
|---|---|
| Other creators | Mala D. Jeya, |
| Collection | Электронные книги зарубежных издательств ; Общая коллекция |
| Subjects | Medical informatics — Technological innovations. ; Artificial intelligence — Medical applications. ; Data mining. ; Data Mining ; Médecine — Informatique — Innovations. ; Intelligence artificielle en médecine. ; Exploration de données (Informatique) ; EBSCO eBooks |
| Document type | Other |
| File type | |
| Language | English |
| Rights | Доступ по паролю из сети Интернет (чтение, печать, копирование) |
| Record key | on1267403523 |
| Record create date | 8/30/2021 |
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| Group | Anonymous |
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| Network | Internet |
"The objectives of the book are to apply AI in edge analytics for healthcare applications and to analyze the impact of tools, techniques and security solutions in Edge Analytics for Healthcare"--.
| Network | User group | Action |
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| ILC SPbPU Local Network | All |
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| Internet | Authorized users SPbPU |
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| Internet | Anonymous |
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- Cover
- Title Page
- Copyright Page
- Book Series
- Editorial Advisory Board and List of Reviewers
- Table of Contents
- Detailed Table of Contents
- Preface
- Acknowledgment
- Chapter 1: Virtual Digital Twins
- Chapter 2: Smart Medical Kit in Chronic Kidney Disease Management
- Chapter 3: Application of Machine Learning in Data Analytics on COVID-19 First Wave in India
- Chapter 4: An IoT-Based Sanitation Monitoring System Using Machine Learning for Stagnant Water to Prevent Water-Borne Diseases
- Chapter 5: Relevance of Artificial Intelligence in Modern Healthcare
- Chapter 6: Secured Healthcare Data Analytics on the Cloud Using Blockchain-Based Techniques
- Chapter 7: IoT Security Issues, Challenges, Threats, and Solutions in Healthcare Applications
- Chapter 8: Edge Analytics With Machine Learning Technique for Medical IoT Applications
- Chapter 9: AI-Based IoT Analytics on the Cloud for Diabetic Data Management System
- Chapter 10: Edge Computing for Secured IoT Analytics on the Cloud
- Chapter 11: Automated Early Prediction of Anomalies Due to Diabetes Using Fundus Images
- Chapter 12: Internet of Things-Empowered Next-Generation Healthcare Systems
- Chapter 13: Information Science in the Analytics of Healthcare Data
- Chapter 14: Smart Healthcare IoT Applications Using AI
- Chapter 15: Futuristic Research Perspectives of IoT Platforms
- Compilation of References
- About the Contributors
- Index
