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COVID-19 - Monitoring with IoT Devices is a comprehensive guide to measuring the impact of COVID-19 infection and monitoring outbreak metrics. Beginning with an introduction to SARS-CoV-2 and its symptoms, the book presents chapters on machine learning (supervised and unsupervised algorithms) and techniques to predict COVID-19 outcomes. The book concludes with the role of IoT technology in detecting COVID-19 infections within a community, showcasing different computing models applicable to specific use-cases.
Key Features:
- Explores the pivotal role of IoT technology in the fight against the COVID-19 pandemic.
- Covers a data-driven approach to COVID-19 monitoring by explaining methods for data collection, prediction, and analysis.
- Includes specific recommendations for machine learning algorithms designed for COVID-19 monitoring.
>COVID-19 - Monitoring with IoT Devices provides a valuable resource for understanding the role of IoT technology in managing and mitigating the impact of COVID-19, and developing adequate infection control policies. It also showcases the potential of IoT for future research and applications in the healthcare sector. This book is intended for a diverse readership, including academicians, industry professionals, researchers, and healthcare practitioners.
- Format: Pocket/Paperback
- ISBN: 9789815179477
- Språk: Engelska
- Antal sidor: 228
- Utgivningsdatum: 2023-11-23
- Förlag: Bentham Science Publishers