|
KMID : 1155220230480020102
|
|
Journal of the Korean Society of Health Information and Health Statistics
2023 Volume.48 No. 2 p.102 ~ p.107
|
|
|
A Study on Drug Repositioning Clue Extraction Pipeline Based on Network Analysis in Social Network Services
|
|
Lee Won-Gyun
Lee Seung-Hee
Kim Jong-Yeup
Lee Sue-Hyun
|
|
|
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.
|
|
|
KEYWORD
|
|
|
Network analysis, Social network service, Drug repositioning, Pipeline
|
|
|
FullTexts / Linksout information
|
|
|
|
|
|
Listed journal information
|
|
|