dc.contributor.author | Chatterjee, Ayan | |
dc.contributor.author | Pahari, Nibedita | |
dc.contributor.author | Prinz, Andreas | |
dc.date.accessioned | 2022-11-22T12:02:03Z | |
dc.date.available | 2022-11-22T12:02:03Z | |
dc.date.created | 2022-10-13T13:55:32Z | |
dc.date.issued | 2022 | |
dc.identifier.citation | Chatterjee, 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.issn | 1424-8220 | |
dc.identifier.uri | https://hdl.handle.net/11250/3033381 | |
dc.language.iso | eng | en_US |
dc.publisher | MDPI | en_US |
dc.rights | Navngivelse 4.0 Internasjonal | * |
dc.rights.uri | http://creativecommons.org/licenses/by/4.0/deed.no | * |
dc.title | HL7 FHIR with SNOMED-CT to Achieve Semantic and Structural Interoperability in Personal Health Data: A Proof-of-Concept Study | en_US |
dc.type | Peer reviewed | en_US |
dc.type | Journal article | en_US |
dc.description.version | publishedVersion | en_US |
dc.rights.holder | © 2022 The Author(s) | en_US |
dc.subject.nsi | VDP::Teknologi: 500::Informasjons- og kommunikasjonsteknologi: 550 | en_US |
dc.source.pagenumber | 48 | en_US |
dc.source.volume | 22 | en_US |
dc.source.journal | Sensors | en_US |
dc.source.issue | 10 | en_US |
dc.identifier.doi | https://doi.org/10.3390/s22103756 | |
dc.identifier.cristin | 2061192 | |
dc.source.articlenumber | 3756 | en_US |
cristin.qualitycode | 1 | |