COVID 19 - Monitoring with IoT Devices
| AUTHOR | Nagaraj, Ambika |
| PUBLISHER | Bentham Science Publishers (11/23/2023) |
| PRODUCT TYPE | Paperback (Paperback) |
Description
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.
- 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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Product Format
Product Details
ISBN-13:
9789815179477
ISBN-10:
9815179470
Binding:
Paperback or Softback (Trade Paperback (Us))
Content Language:
English
More Product Details
Page Count:
228
Carton Quantity:
14
Product Dimensions:
7.00 x 0.59 x 10.00 inches
Weight:
1.22 pound(s)
Country of Origin:
US
Subject Information
BISAC Categories
Medical | Infectious Diseases
Descriptions, Reviews, Etc.
publisher marketing
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.
- 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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