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DOI: 10.2174/97898151794531230101 eISBN: 978-981-5179-45-3, 2023 ISBN: 978-981-5179-46-0
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For Books Ambika Nagaraj , " COVID 19 – Monitoring with IoT Devices ", Bentham Science Publishers (2023). https://doi.org/10.2174/97898151794531230101
Print ISBN978-981-5179-46-0
Online ISBN978-981-5179-45-3
Page: i-i (1) Author: Manoj Devare DOI: 10.2174/9789815179453123010001
Page: ii-ii (1) Author: Jyotir Moy Chatterjee DOI: 10.2174/9789815179453123010002
Page: iii-iii (1) Author: Ambika Nagaraj* DOI: 10.2174/9789815179453123010003
Page: 1-22 (22) Author: Ambika Nagaraj* DOI: 10.2174/9789815179453123010004 PDF Price: $15
Page: 23-75 (53) Author: Ambika Nagaraj* DOI: 10.2174/9789815179453123010005 PDF Price: $15
Page: 76-108 (33) Author: Ambika Nagaraj* DOI: 10.2174/9789815179453123010006 PDF Price: $15
Page: 109-128 (20) Author: Ambika Nagaraj* DOI: 10.2174/9789815179453123010007 PDF Price: $15
Page: 129-213 (85) Author: Ambika Nagaraj* DOI: 10.2174/9789815179453123010008 PDF Price: $15
Page: 214-218 (5) Author: Ambika Nagaraj* DOI: 10.2174/9789815179453123010009
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.
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