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|a EBLCP
|b eng
|e rda
|c EBLCP
|d UAB
|d UIU
|d OCLCF
|d VLB
|d OCLCQ
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|a 1839535199
|q (PDF)
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|a 9781839535192
|q (electronic bk.)
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|z 9781839535185
|q (hardback)
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|z 1839535180
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|a (OCoLC)1315647771
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|a R858
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|a 610.285
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|a UAMI
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|a Chakraborty, Chinmay,
|d 1984-
|e editor.
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|a Smart health technologies for the COVID-19 pandemic :
|b Internet of medical things perspectives /
|c edited by Chinmay Chakraborty, Joel J.P.C. Rodrigues.
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|a Stevenage :
|b Institution of Engineering and Technology,
|c 2022.
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|c Ã2022
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|a 1 online resource (xxii, 454 pages) :
|b illustrations.
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|a text
|b txt
|2 rdacontent
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|a computer
|b c
|2 rdamedia
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|a online resource
|b cr
|2 rdacarrier
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|a Healthcare technologies series ;
|v 42
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|a Includes bibliographical references and an index.
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|a 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
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|a 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
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|a 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
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|a 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
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|a 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
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|a 4.4.9 Record decrease in CO2 emissions.
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|a 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.
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|a Print version of record.
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|a Knovel
|b ACADEMIC - General Engineering & Project Administration
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|a Knovel
|b ACADEMIC - Pharmaceuticals, Cosmetics & Toiletries
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|a Medical telematics.
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|a Internet of things
|x Health aspects.
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|a Internet of things
|x Industrial applications.
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|a Internet in medicine.
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|a COVID-19 Pandemic, 2020-
|x Technological innovations.
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650 |
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|a Internet in medicine.
|2 fast
|0 (OCoLC)fst00977256
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|a Medical telematics.
|2 fast
|0 (OCoLC)fst01014774
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650 |
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|a Technological innovations.
|2 fast
|0 (OCoLC)fst01145002
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647 |
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|a COVID-19 Pandemic
|d (2020-)
|2 fast
|0 (OCoLC)fst02024716
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|a Since 2020
|2 fast
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700 |
1 |
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|a Rodrigues, Joel,
|d 1972-
|e editor.
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776 |
0 |
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|i Print version:
|a Chakraborty, Chinmay
|t Smart Health Technologies for the COVID-19 Pandemic
|d Stevenage : Institution of Engineering & Technology,c2022
|z 9781839535185
|
830 |
|
0 |
|a Healthcare technologies series ;
|v 42.
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856 |
4 |
0 |
|u https://appknovel.uam.elogim.com/kn/resources/kpSHTCOVI4/toc
|z Texto completo
|
938 |
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|a ProQuest Ebook Central
|b EBLB
|n EBL6962953
|
938 |
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|a EBSCOhost
|b EBSC
|n 3275811
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994 |
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|a 92
|b IZTAP
|