A Study on Drug Repositioning Clue Extraction Pipeline Based on Network Analysis in Social Network Services
DC Field | Value | Language |
---|---|---|
dc.contributor.author | 이원균 | - |
dc.contributor.author | 이승희 | - |
dc.contributor.author | 김종엽 | - |
dc.contributor.author | 이수현 | - |
dc.date.accessioned | 2023-06-17T07:40:26Z | - |
dc.date.available | 2023-06-17T07:40:26Z | - |
dc.date.created | 2023-06-17 | - |
dc.date.issued | 2023-05 | - |
dc.identifier.issn | 2465-8014 | - |
dc.identifier.uri | https://scholarworks.bwise.kr/gachon/handle/2020.sw.gachon/88116 | - |
dc.description.abstract | Objectives: In this study, we intend to propose a network analysis-based pipeline for drug repositioning using social network service data. Methods: We collected and analyzed 778 final posts on Cozaar-tab, a representative antihypertensive drug, from posts (2008-2022) of Naver Cafe, the largest social channel in Korea. For the analysis, we defined three filter dictionaries of the Cozaar-tab based on WHO-ART, an international classification system for drug side effects, and completed a network map by visualizing the extracted keywords. Results: We discussed to prepare evidence for drug reposition- ing from Cozaar-tab’s unexpected keyword ‘drowsiness’ to sleep inducing agent. Conclusions: Although this process is a narrow pipeline performance for a specific drug, it is expected to contribute to laying the foundation for data-based drug repositioning by supplementing it through clinical off-label review, additional data acquisition, and network analysis advancement in the future. | - |
dc.language | 영어 | - |
dc.language.iso | en | - |
dc.publisher | 한국보건정보통계학회 | - |
dc.relation.isPartOf | 보건정보통계학회지 | - |
dc.title | A Study on Drug Repositioning Clue Extraction Pipeline Based on Network Analysis in Social Network Services | - |
dc.title.alternative | A Study on Drug Repositioning Clue Extraction Pipeline Based on Network Analysis in Social Network Services | - |
dc.type | Article | - |
dc.type.rims | ART | - |
dc.description.journalClass | 2 | - |
dc.identifier.doi | 10.21032/jhis.2023.48.2.102 | - |
dc.identifier.bibliographicCitation | 보건정보통계학회지, v.48, no.2, pp.102 - 107 | - |
dc.identifier.kciid | ART002964823 | - |
dc.description.isOpenAccess | N | - |
dc.citation.endPage | 107 | - |
dc.citation.startPage | 102 | - |
dc.citation.title | 보건정보통계학회지 | - |
dc.citation.volume | 48 | - |
dc.citation.number | 2 | - |
dc.contributor.affiliatedAuthor | 이수현 | - |
dc.subject.keywordAuthor | Network analysis | - |
dc.subject.keywordAuthor | Social network service | - |
dc.subject.keywordAuthor | Drug repositioning | - |
dc.subject.keywordAuthor | Pipeline | - |
dc.subject.keywordAuthor | . | - |
dc.description.journalRegisteredClass | kci | - |
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