http://www.loc.gov/mods/v3 http://www.loc.gov/standards/mods/v3/mods-3-2.xsd
Smart health technologies for the COVID-19 pandemic
1 online resource (xxii, 454 pages) : illustrations.
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.
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
edited by Chinmay Chakraborty, Joel J.P.C. Rodrigues.
Plný text je dostupný pouze z IP adres počítačů Univerzity Tomáše Bati ve Zlíně nebo vzdáleným přístupem pro zaměstnance a studenty
Includes bibliographical references and an index.
Stevenage : Institution of Engineering & Technology,c2022