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Smart health technologies for the COVID-19 pandemic : Internet of medical things perspectives

Title
Smart health technologies for the COVID-19 pandemic : Internet of medical things perspectives / edited by Chinmay Chakraborty, Joel J.P.C. Rodrigues.
ISBN
9781839535192
1839535199
9781839535185
1839535180
Publication
Stevenage : Institution of Engineering and Technology, 2022.
Copyright Notice Date
©2022
Physical Description
1 online resource (xxii, 454 pages) : illustrations.
Local Notes
Access is available to the Yale community.
Access and use
Access restricted by licensing agreement.
Summary
This edited book looks at the role technology has played to monitor, map and fight the COVID-19 global pandemic. The vital role that intelligent advanced healthcare informatics has played during this crucial time are explored, as well as e-healthcare, telemedicine, and life support systems.
Variant and related titles
Knovel. OCLC KB.
Other formats
Print version: Chakraborty, Chinmay Smart Health Technologies for the COVID-19 Pandemic Stevenage : Institution of Engineering & Technology,c2022
Format
Books / Online
Language
English
Added to Catalog
September 26, 2022
Series
Healthcare technologies series ; 42.
Healthcare technologies series ; 42
Bibliography
Includes bibliographical references and an index.
Contents
Intro
Title
Copyright
Contents
About the editors
Preface
1 Internet of Things (IoT) and blockchain-based solutions to confront COVID-19 pandemic
1.1 Introduction
1.2 Internet of Things (IoT) and blockchain overview
1.2.1 Internet of Things
1.2.2 Blockchain
1.3 IoT technologies to confront COVID-19
1.3.1 Health monitoring systems
1.3.2 Tracking and detecting possible patients
1.3.3 Disinfecting area
1.3.4 Telemedicine
1.3.5 Logistics delivery
1.4 Blockchain technologies to confront COVID-19
1.4.1 Contact tracing
1.4.2 Database security
1.4.3 Information sharing
1.4.4 Prevention of data fabrication
1.4.5 Internet of Medical Things
1.5 Challenges, solutions, and deliverables
1.5.1 Challenges of IoT and blockchain technology
1.5.2 Possible solutions and deliverables
1.6 Key findings and discussion
1.7 Conclusion and future scopes
References
2 Application of big data and computational intelligence in fighting COVID-19 epidemic
2.1 Introduction
2.2 Applicability of computational intelligence in combating COVID-19 pandemic
2.3 Big data and analytics in battling COVID-19 outbreak
2.4 The limitations of using big data and computational intelligence to fight the COVID-19 pandemic
2.5 The practical case of using computational intelligence in fighting COVID-19 pandemic
2.5.1 Confusion matrix
2.5.2 ROC curves
2.5.3 Precision-recall curve
2.6 Conclusion
References
3 Cloud-based IoMT for early COVID-19 diagnosis and monitoring
3.1 Introduction
3.2 Overview about COVID-19 treatments
3.2.1 Symptoms
3.2.2 Methodologies in COVID-19 diagnosis
3.2.3 Treatment approaches
3.2.4 Available vaccine
3.2.5 COVID-19 timeline
3.3 Related work
3.3.1 Lightweight block encryption__amp__#8211
based secure health monitoring system for data management
3.3.2 Smart diagnostic/therapeutic framework for COVID-19 patients
3.3.3 IoT-based framework for collecting real-time symptom data using machine learning algorithms
3.4 Proposed methodology
3.4.1 Architecture of proposed IoT framework
3.4.2 Data acquisition using wearables devices
3.5 Implementation of proposed framework
3.6 Results and discussion
3.7 Conclusion and future scopes
References
4 Assessment analysis of COVID-19 on the global economics and trades
4.1 Introduction
4.2 Backgrounds
4.3 Social impacts on finance
4.4 Framework for the international financial system, bionetworks, and maintainability on pandemic
4.4.1 Assessment strategy constructions to fight COVID-19
4.4.2 Macro-finance impacts
4.4.3 Econometric effects: consumer preferences
4.4.4 Nonpositive impacts of COVID-19
4.4.5 Impact of international commercial trading
4.4.6 COVID-19__amp__#8217
s effect on the aviation industry
4.4.7 Significant collision on the travel sector
4.4.8 Significant reduction in primary energy usage
4.4.9 Record decrease in CO2 emissions.
Genre/Form
Electronic books.
Citation

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