COVID 19 – Monitoring with IoT Devices
eBook - ePub

COVID 19 – Monitoring with IoT Devices

  1. English
  2. ePUB (mobile friendly)
  3. Available on iOS & Android
eBook - ePub

COVID 19 – Monitoring with IoT Devices

About this book

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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Yes, you can access COVID 19 – Monitoring with IoT Devices by Ambika Nagaraj in PDF and/or ePUB format, as well as other popular books in Medicine & Internal Medicine & Diagnosis. We have over one million books available in our catalogue for you to explore.

Table of contents

  1. Welcome
  2. Table of Content
  3. Title
  4. BENTHAM SCIENCE PUBLISHERS LTD.
  5. FOREWORD I
  6. PREFACE
  7. COVID -19
  8. Supervised Learning Algorithms
  9. Semi-Supervised Algorithms
  10. Unsupervised Algorithms
  11. Role of Internet-of-Things During Covid-19