A Study on Drug Repositioning Clue Extraction Pipeline Based on Network Analysis in Social Network ServicesA Study on Drug Repositioning Clue Extraction Pipeline Based on Network Analysis in Social Network Services
- Other Titles
- A Study on Drug Repositioning Clue Extraction Pipeline Based on Network Analysis in Social Network Services
- Authors
- 이원균; 이승희; 김종엽; 이수현
- Issue Date
- May-2023
- Publisher
- 한국보건정보통계학회
- Keywords
- Network analysis; Social network service; Drug repositioning; Pipeline; .
- Citation
- 보건정보통계학회지, v.48, no.2, pp.102 - 107
- Journal Title
- 보건정보통계학회지
- Volume
- 48
- Number
- 2
- Start Page
- 102
- End Page
- 107
- URI
- https://scholarworks.bwise.kr/gachon/handle/2020.sw.gachon/88116
- DOI
- 10.21032/jhis.2023.48.2.102
- ISSN
- 2465-8014
- 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.
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