In the battle against the COVID-19 pandemic, the integration of Internet of Things (IoT) technologies has played a pivotal role in reshaping public health and healthcare delivery. Interconnected devices have demonstrated their capacity to collect, transmit, and analyze data, significantly impacting various aspects of pandemic management. 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. - Easy-to-read structured chapters suitable for novices in computer science and biomedical engineering. 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.
| Author: Ambika Nagaraj |
| Publisher: Bentham Science Publishers |
| Publication Date: Nov 23, 2023 |
| Number of Pages: NA pages |
| Language: English |
| Binding: Paperback |
| ISBN-10: 9815179470 |
| ISBN-13: 9789815179477 |
