COVID 19 – Monitoring with IoT Devices
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| Title: | COVID 19 – Monitoring with IoT Devices |
|---|---|
| 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. |
| Authors: | Ambika, Nagaraj |
| Resource Type: | eBook. |
| Subjects: | Internet of things, COVID-19 Pandemic, 2020-2023, Public health--Data processing |
| Categories: | HEALTH & FITNESS / Diseases & Conditions / Contagious (incl. Pandemics), TECHNOLOGY & ENGINEERING / Biomedical |
| Database: | eBook Collection (EBSCOhost) |
| FullText | Links: – Type: ebook-pdf – Type: ebook-epub Text: Availability: 0 |
|---|---|
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| Items | – Name: Title Label: Title Group: Ti Data: COVID 19 – Monitoring with IoT Devices – Name: Abstract Label: Description Group: Ab Data: 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. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AR" term="%22Ambika%2C+Nagaraj%22">Ambika, Nagaraj</searchLink> – Name: TypePub Label: Resource Type Group: TypPub Data: eBook. – Name: Subject Label: Subjects Group: Su Data: <searchLink fieldCode="DE" term="%22Internet+of+things%22">Internet of things</searchLink><br /><searchLink fieldCode="DE" term="%22COVID-19+Pandemic%2C+2020-2023%22">COVID-19 Pandemic, 2020-2023</searchLink><br /><searchLink fieldCode="DE" term="%22Public+health--Data+processing%22">Public health--Data processing</searchLink> – Name: SubjectBISAC Label: Categories Group: Su Data: <searchLink fieldCode="ZK" term="%22HEALTH+%26+FITNESS+%2F+Diseases+%26+Conditions+%2F+Contagious+%28incl%2E+Pandemics%29%22">HEALTH & FITNESS / Diseases & Conditions / Contagious (incl. Pandemics)</searchLink><br /><searchLink fieldCode="ZK" term="%22TECHNOLOGY+%26+ENGINEERING+%2F+Biomedical%22">TECHNOLOGY & ENGINEERING / Biomedical</searchLink> |
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| RecordInfo | BibRecord: BibEntity: Classifications: – Code: 362.1962414 Scheme: ddc Type: prePub Languages: – Code: eng Text: English Subjects: – SubjectFull: Internet of things Type: general – SubjectFull: COVID-19 Pandemic, 2020-2023 Type: general – SubjectFull: Public health--Data processing Type: general Titles: – TitleFull: COVID 19 – Monitoring with IoT Devices Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Ambika, Nagaraj – PersonEntity: Name: NameFull: Ambika, Nagaraj IsPartOfRelationships: – BibEntity: Dates: – D: 01 M: 01 Type: published Y: 2023 – D: 30 M: 04 Type: profile Y: 2024 Identifiers: – Type: isbn-print Value: 9789815179460 – Type: isbn-electronic Value: 9789815179453 Titles: – TitleFull: COVID 19 – Monitoring with IoT Devices Type: main |
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