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Privacy preserving distributed computation of community health research data

dc.contributor.authorAndersen, Anders
dc.contributor.authorSaus, Merete
dc.date.accessioned2018-04-24T08:46:07Z
dc.date.available2018-04-24T08:46:07Z
dc.date.issued2017-09-19
dc.description.abstractResearch in community health introduces challenges regarding analysis of the research data. It involves multiple actors in a varity of arenas, and it is often directed towards the local community and children and their families. The legal, ethical and privacy issues involved introduce constraints upon the analysis performed. SNOOP combined with the D2Worm declarative modelling and infrastructure architecture is a promising approach to support a wide range of possible privacy preserving analysis in community health research.en_US
dc.descriptionSource at <a href=https://doi.org/10.1016/j.procs.2017.08.319> https://doi.org/10.1016/j.procs.2017.08.319 </a>.en_US
dc.identifier.citationAndersen, A. & Saus, M. (2017). Privacy preserving distributed computation of community health research data. Procedia Computer Science, 113, 633-640.en_US
dc.identifier.cristinIDFRIDAID 1496548
dc.identifier.doi10.1016/j.procs.2017.08.319
dc.identifier.issn1877-0509
dc.identifier.urihttps://hdl.handle.net/10037/12587
dc.language.isoengen_US
dc.publisherElsevieren_US
dc.relation.journalProcedia Computer Science
dc.rights.accessRightsopenAccessen_US
dc.subjectCommunity health dataen_US
dc.subjectAnalysisen_US
dc.subjectDistributed Computationsen_US
dc.subjectSecure Multiparty Computationsen_US
dc.subjectPKIen_US
dc.subjectVDP::Medisinske Fag: 700::Helsefag: 800::Samfunnsmedisin, sosialmedisin: 801en_US
dc.subjectVDP::Medical disciplines: 700::Health sciences: 800::Community medicine, Social medicine: 801en_US
dc.subjectVDP::Mathematics and natural science: 400::Information and communication science: 420::Algorithms and computability theory: 422en_US
dc.subjectVDP::Matematikk og Naturvitenskap: 400::Informasjons- og kommunikasjonsvitenskap: 420::Algoritmer og beregnbarhetsteori: 422en_US
dc.titlePrivacy preserving distributed computation of community health research dataen_US
dc.typeJournal articleen_US
dc.typeTidsskriftartikkelen_US
dc.typePeer revieweden_US


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