Rodyti trumpą aprašą

dc.contributor.authorNavakauskas, Dalius
dc.contributor.authorKazlauskas, Mantas
dc.date.accessioned2023-12-22T07:07:18Z
dc.date.available2023-12-22T07:07:18Z
dc.date.issued2023
dc.identifier.issn0868-4952
dc.identifier.other(crossref_id)153132833
dc.identifier.urihttps://etalpykla.vilniustech.lt/xmlui/handle/123456789/153837
dc.description.abstractHealthcare has seen many advances in sensor technology, but with recent improvements in networks and the addition of the Internet of Things, it is even more promising. Current solutions to managing healthcare data with cloud computing may be unreliable at the most critical moments. High response latency, large volumes of data, and security are the main issues of this approach. The promising solution is fog computing, which offers an immediate response resistant to disconnections and ways to process big data using real-time analytics and artificial intelligence (AI). However, fog computing has not yet matured and there are still many challenges. This article presents for a computer scientist a systematic review of the literature on fog computing in healthcare. Articles published in six years are analysed from the service, software, hardware, information technologies and mobility with autonomy perspectives. The contribution of this study includes an analysis of recent trends, focus areas and benefits of the use of AI techniques in fog computing e-health applications.eng
dc.formatPDF
dc.format.extentp. 577-602
dc.format.mediumtekstas / txt
dc.language.isoeng
dc.relation.isreferencedbyScopus
dc.relation.isreferencedbyScience Citation Index Expanded (Web of Science)
dc.source.urihttps://informatica.vu.lt/journal/INFORMATICA/article/1306/text
dc.titleFog computing in healthcare: Systematic review
dc.typeStraipsnis Web of Science DB / Article in Web of Science DB
dcterms.accessRightsOpen access article under the CC BY license.
dcterms.licenseCreative Commons – Attribution – 4.0 International
dcterms.references112
dc.type.pubtypeS1 - Straipsnis Web of Science DB / Web of Science DB article
dc.contributor.institutionVilniaus Gedimino technikos universitetas
dc.contributor.facultyElektronikos fakultetas / Faculty of Electronics
dc.subject.researchfieldT 001 - Elektros ir elektronikos inžinerija / Electrical and electronic engineering
dc.subject.researchfieldT 007 - Informatikos inžinerija / Informatics engineering
dc.subject.vgtuprioritizedfieldsIK0303 - Dirbtinio intelekto ir sprendimų priėmimo sistemos / Artificial intelligence and decision support systems
dc.subject.ltspecializationsL105 - Sveikatos technologijos ir biotechnologijos / Health technologies and biotechnologies
dc.subject.enfog computing
dc.subject.eninternet of things
dc.subject.enhealthcare
dc.subject.ensystematic review
dcterms.sourcetitleInformatica
dc.description.issueiss. 3
dc.description.volumevol. 34
dc.publisher.nameVilnius University
dc.publisher.cityVilnius
dc.identifier.doi153132833
dc.identifier.doi2-s2.0-85174199562
dc.identifier.doi85174199562
dc.identifier.doi1
dc.identifier.doi001086306600006
dc.identifier.doi10.15388/23-INFOR525
dc.identifier.elaba179889127


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