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시판 후 약물감시를 위한 자료원별 약물 부작용 분석 방법 및 연구 동향

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dc.contributor.author신현아-
dc.contributor.author박성현-
dc.contributor.author이수현-
dc.date.accessioned2023-06-17T07:40:32Z-
dc.date.available2023-06-17T07:40:32Z-
dc.date.created2023-06-17-
dc.date.issued2022-11-
dc.identifier.issn2465-8014-
dc.identifier.urihttps://scholarworks.bwise.kr/gachon/handle/2020.sw.gachon/88118-
dc.description.abstractIn this study, we summarized analysis methodologies for each of five sources that electronic medical records, claim data, spontaneous reporting system data, social media data, and knowledge base for pharmacovigilance and research trends. We used PubMed from 2016.01.01. to 2020.12.31. for review- ing, and as a result, spontaneous reporting system data tended to be used the most, followed by electronic medical records. As for the analysis methods, data mining was applied the most, followed by traditional statistical analysis. We need an appropriate research design, because each data source has dif- ferent characteristics and analysis methods applied depending on the subject.-
dc.language한국어-
dc.language.isoko-
dc.publisher한국보건정보통계학회-
dc.relation.isPartOf보건정보통계학회지-
dc.title시판 후 약물감시를 위한 자료원별 약물 부작용 분석 방법 및 연구 동향-
dc.title.alternativeAdverse Drug Reaction Analysis Methods and Research Trends by Data Sources for Post-marketing Surveillance-
dc.typeArticle-
dc.type.rimsART-
dc.description.journalClass2-
dc.identifier.doi10.21032/jhis.2022.47.S3.S41-
dc.identifier.bibliographicCitation보건정보통계학회지, pp.41 - 50-
dc.identifier.kciidART002903247-
dc.description.isOpenAccessY-
dc.citation.endPage50-
dc.citation.startPage41-
dc.citation.title보건정보통계학회지-
dc.contributor.affiliatedAuthor이수현-
dc.subject.keywordAuthorAdverse drug reaction-
dc.subject.keywordAuthorPost-marketing surveillance-
dc.subject.keywordAuthorAnalysis methods-
dc.description.journalRegisteredClasskci-
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