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Genomic Common Data Model for Biomedical Data in Clinical Practice

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dc.contributor.authorShin, SJ-
dc.contributor.authorYou, SC-
dc.contributor.authorRoh, J-
dc.contributor.authorPark, YR-
dc.contributor.authorPark, RW-
dc.date.accessioned2022-01-14T05:17:19Z-
dc.date.available2022-01-14T05:17:19Z-
dc.date.issued2019-
dc.identifier.issn1879-8365-
dc.identifier.urihttp://repository.ajou.ac.kr/handle/201003/19998-
dc.description.abstractA common data model for clinical NGS panel data that is used in a distributed research network to achieve large scale to make evidence for improving patient care should be developed. This study developed OMOP-CDM extension for NGS panel data and confirmed the feasibility of the model by finding the differences between a database generated by research-purpose and clinical practice. We believe this data model can be used in distributed research model and will facilitate the usage of the clinical NGS data in patient care.-
dc.formatapplication/pdf-
dc.subject.MESHDatabases, Factual-
dc.subject.MESHGenomics-
dc.subject.MESHHumans-
dc.subject.MESHModels, Theoretical-
dc.titleGenomic Common Data Model for Biomedical Data in Clinical Practice-
dc.typeArticle-
dc.identifier.pmid31438371-
dc.subject.keywordData Analysis-
dc.subject.keywordHigh-Throughput Nucleotide Sequencing-
dc.subject.keywordObservational Study-
dc.contributor.affiliatedAuthor노, 진-
dc.contributor.affiliatedAuthor박, 래웅-
dc.type.localJournal Papers-
dc.identifier.doi10.3233/SHTI190676-
dc.citation.titleStudies in health technology and informatics-
dc.citation.volume264-
dc.citation.date2019-
dc.citation.startPage1843-
dc.citation.endPage1844-
dc.identifier.bibliographicCitationStudies in health technology and informatics, 264. : 1843-1844, 2019-
dc.embargo.liftdate9999-12-31-
dc.embargo.terms9999-12-31-
dc.identifier.eissn0926-9630-
dc.relation.journalidJ018798365-
Appears in Collections:
Journal Papers > School of Medicine / Graduate School of Medicine > Pathology
Journal Papers > School of Medicine / Graduate School of Medicine > Biomedical Informatics
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