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dc.contributor.authorChatterjee, Ayan
dc.contributor.authorPahari, Nibedita
dc.contributor.authorPrinz, Andreas
dc.date.accessioned2022-11-22T12:02:03Z
dc.date.available2022-11-22T12:02:03Z
dc.date.created2022-10-13T13:55:32Z
dc.date.issued2022
dc.identifier.citationChatterjee, A., Pahari, N. & Prinz, A. (2022). HL7 FHIR with SNOMED-CT to Achieve Semantic and Structural Interoperability in Personal Health Data: A Proof-of-Concept Study. Sensors, 22(10), 1-48.en_US
dc.identifier.issn1424-8220
dc.identifier.urihttps://hdl.handle.net/11250/3033381
dc.language.isoengen_US
dc.publisherMDPIen_US
dc.rightsNavngivelse 4.0 Internasjonal*
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/deed.no*
dc.titleHL7 FHIR with SNOMED-CT to Achieve Semantic and Structural Interoperability in Personal Health Data: A Proof-of-Concept Studyen_US
dc.typePeer revieweden_US
dc.typeJournal articleen_US
dc.description.versionpublishedVersionen_US
dc.rights.holder© 2022 The Author(s)en_US
dc.subject.nsiVDP::Teknologi: 500::Informasjons- og kommunikasjonsteknologi: 550en_US
dc.source.pagenumber48en_US
dc.source.volume22en_US
dc.source.journalSensorsen_US
dc.source.issue10en_US
dc.identifier.doihttps://doi.org/10.3390/s22103756
dc.identifier.cristin2061192
dc.source.articlenumber3756en_US
cristin.qualitycode1


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Navngivelse 4.0 Internasjonal
Except where otherwise noted, this item's license is described as Navngivelse 4.0 Internasjonal