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001442222 019__ $$a1267763016
001442222 020__ $$a9783030727529$$q(electronic bk.)
001442222 020__ $$a3030727521$$q(electronic bk.)
001442222 020__ $$z9783030727512
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001442222 0247_ $$a10.1007/978-3-030-72752-9$$2doi
001442222 035__ $$aSP(OCoLC)1266897111
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001442222 049__ $$aISEA
001442222 050_4 $$aR858$$b.H43 2022
001442222 08204 $$a610.285$$223
001442222 24500 $$aHealthcare informatics for fighting COVID-19 and future epidemics /$$cLalit Garg, Chinmay Chakraborty, Saïd Mahmoudi, Victor S. Sohmen, editors.
001442222 264_1 $$aCham :$$bSpringer,$$c[2022]
001442222 264_4 $$c©2022
001442222 300__ $$a1 online resource :$$billustrations
001442222 336__ $$atext$$btxt$$2rdacontent
001442222 337__ $$acomputer$$bc$$2rdamedia
001442222 338__ $$aonline resource$$bcr$$2rdacarrier
001442222 4901_ $$aEAI/Springer innovations in communication and computing,$$x2522-8609
001442222 500__ $$aIncludes index.
001442222 5050_ $$aIntroduction -- SECTION-1: Health Data Analytics and Mining for the COVID-19 pandemic -- COVID-19 pandemic big data analytics and application -- Artificial Intelligence approaches for the COVID-19 pandemic -- Machine learning and deep learning for the COVID-19 pandemic -- Cyber-Social Data Processing and Intelligence Mining for the COVID-19 pandemic -- Cloud-based Intelligent systems for the COVID-19 pandemic -- Smart hospital requirements for infectious diseases treatment -- Big data-driven health risk identification -- Pattern recognition in epidemic risk analysis -- Predictive modelling for the COVID-19 pandemic and future epidemics -- Image processing and computer vision for the COVID-19 pandemic -- Sentiment analysis for the COVID-19 pandemic -- Patient behaviour modelling for the COVID-19 pandemic -- Decision Support Systems (DSS) for the COVID-19 pandemic -- Disease outbreak and progression modelling and simulation for COVID-19 pandemic -- SECTION-2: Information exchange, knowledge sharing, data storage, and security for the COVID-19 pandemic -- COVID-19 information exchange -- Knowledge-sharing for the COVID-19 pandemic -- Blockchain for secured COVID-19 pandemic data handling -- Ontology-based models for the COVID-19 pandemic -- Cloud storage of the COVID-19 pandemic data -- Data warehousing for the COVID-19 pandemic -- Privacy and ethical issues for the COVID-19 pandemic information exchange and sharing -- Text mining and natural language processing for the COVID-19 pandemic -- Secure communication of the COVID-19 pandemic data -- Ensuring the integrity and reliability of the COVID-19 pandemic information -- Infodemic and fake news detection and its social spread prevention for the COVID-19 pandemic -- Data integrity, consistency, and compliance for the COVID-19 pandemic -- Health information impact assessment for the COVID-19 pandemic -- Secure handling and exchange of patient-generated data for the COVID-19 pandemic -- SECTION-3: The Internet of things (IoT) and the Internet of Everything (IoE) for the COVID-19 pandemic -- Smart sensing for the COVID-19 pandemic -- Cloud-based secure IoT system for the COVID-19 pandemic -- Smart hospital for infectious diseases treatment -- Android Apps for the COVID-19 pandemic -- IoT and IoE application in microbial risk and healthcare -- Wireless sensor networks for the COVID-19 pandemic -- E-health, m-Health, and Telemedicine for the COVID-19 pandemic -- Wearable computing for the COVID-19 pandemic -- Hospital automation systems for the COVID-19 pandemic -- IoT and IoE based patient monitoring systems for the COVID-19 pandemic -- Security of IoT and IoE based data and devices for the COVID-19 pandemic -- IoT and IoE Hardware and software platforms for the COVID-19 pandemic -- Conclusion.
001442222 506__ $$aAccess limited to authorized users.
001442222 520__ $$aThis book presents innovative solutions utilising informatics to deal with various issues related to the COVID-19 outbreak. The book offers a collection of contemporary research and development on the management of Covid-19 using health data analytics, information exchange, knowledge sharing, the Internet of Things (IoT), and the Internet of Everything (IoE)-based solutions. The book also analyses the implementation, assessment, adoption, and management of these healthcare informatics solutions to manage the pandemic and future epidemics. The book is relevant to researchers, professors, students, and professionals in informatics and related topics. Reveals solutions employing informatics for battling COVID-19 and other coronaviruses; Discusses health data analytics, knowledge sharing, and IoT in relation to informatics and COVID-19; Pertinent to researchers, professionals, and professors in informatics and related fields.
001442222 588__ $$aOnline resource; title from PDF title page (SpringerLink, viewed September 16, 2021).
001442222 647_7 $$aCOVID-19 Pandemic$$d(2020- )$$2fast$$0(OCoLC)fst02024716
001442222 650_0 $$aMedical informatics.
001442222 650_0 $$aCOVID-19 Pandemic, 2020-$$xData processing.
001442222 650_6 $$aMédecine$$xInformatique.
001442222 650_6 $$aPandémie de COVID-19, 2020-$$xInformatique.
001442222 655_0 $$aElectronic books.
001442222 7001_ $$aGarg, Lalit,$$d1977-$$eeditor.
001442222 7001_ $$aChakraborty, Chinmay,$$d1984-$$eeditor.
001442222 7001_ $$aMahmoudi, Saïd,$$eeditor.
001442222 7001_ $$aSohmen, Victor S.,$$eeditor.
001442222 77608 $$iPrint version:$$z3030727513$$z9783030727512$$w(OCoLC)1240491502
001442222 830_0 $$aEAI/Springer innovations in communication and computing.$$x2522-8609
001442222 852__ $$bebk
001442222 85640 $$3Springer Nature$$uhttps://univsouthin.idm.oclc.org/login?url=https://link.springer.com/10.1007/978-3-030-72752-9$$zOnline Access$$91397441.1
001442222 909CO $$ooai:library.usi.edu:1442222$$pGLOBAL_SET
001442222 980__ $$aBIB
001442222 980__ $$aEBOOK
001442222 982__ $$aEbook
001442222 983__ $$aOnline
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