Nature-Inspired Methods for Smart Healthcare Systems and Medical Data
This book aims to gather high-quality research papers on developing theories, frameworks, architectures, and algorithms for solving complex challenges in smart healthcare applications for real industry use. It explores the recent theoretical and practical applications of metaheuristics and optimizat...
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| Autor Corporativo: | |
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| Outros autores: | , , |
| Formato: | Electrónico eBook |
| Idioma: | inglés |
| Publicado: |
Cham :
Springer Nature Switzerland : Imprint: Springer,
2024.
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| Edición: | 1st ed. 2024. |
| Subjects: | |
| Acceso en liña: | https://doi.org/10.1007/978-3-031-45952-8 |
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Table of Contents:
- Chapter. 1. A review of methods employed for forensic human identification
- Chapter. 2. AI based Medicine Intake Tracker
- Chapter. 3. Analysis of Genetic Mutations using Nature-Inspired Optimization Methods and Classification Approach
- Chapter. 4. Applications of Blockchain: A Healthcare Use Case
- Chapter. 5. Comprehensive Methodology of Contact Tracing Techniques to Reduce Pandemic Infectious Diseases Spread
- Chapter. 6. High-impact applications of IoT system-based metaheuristics
- Chapter. 7. IoT-based eHealth solutions for aging with special emphasis on aging-related inflammatory diseases: prospects and challenges
- Chapter. 8. Leveraging Meta-Heuristics in Improving Health Care Delivery: A Comprehensive Overview
- Chapter. 9. Metaheuristics algorithms for complex disease prediction
- Chapter. 10. Printed rGO-based temperature sensor for wireless body area network applications
- Chapter. 11. Recent advanced in healthcare data privacy techniques
- Chapter. 12. The ability of the CFD approach to investigate the fluid and wall hemodynamics of cerebral stenosis and aneurysm.-.