% 0期刊文章% @ 2561 - 326 x %我JMIR出版物% 卡塔尔世界杯8强波胆分析V P e39582 6% N 10% % T社交媒体挖掘Long-COVID自我药疗报道Reddit用户:可行性研究支持药物再利用%高斯,乔纳森% Bohnet-Joschko, Sabine % +部门管理和创业精神,教师的管理、经济和社会,威滕/ Herdecke大学Alfred-Herrhausen-Str。50，威腾，58455，德国，49 2302926475,jonathan.koss@uni-wh.de %K社交媒体挖掘%K药物再利用%K长covid %K众包%K covid %K Reddit %K社交媒体%K内容分析%K网络分析%K识别算法%K治疗%D 2022 %7 3.10.2022 %9原始论文%J JMIR表格Res %G英文%X背景:自COVID-19大流行开始以来，全球已有超过4.8亿人感染，超过600万人死于COVID-19。在一些急性COVID-19患者中，症状出现的时间较长，也被称为“长covid”。由于没有获得批准的治疗方法，与长冠相关的医疗需求得不到满足的情况很多。患者尝试各种药物和补充剂，希望减轻他们的痛苦。他们经常在社交媒体上分享自己的经历。目的:本研究旨在探讨从患者角度出发，利用社交媒体挖掘方法提取重要化合物的可行性。目的是通过结合患者的经历，概述Reddit用户自我报告中提到的不同药物策略和重要药物，以支持药物再利用的假设生成。方法:我们使用命名实体识别从reddit版块“/r/covidlonghaulers”上的近7万篇帖子中提取用于治疗长冠病毒的药物或补充剂。我们通过频率、共现和网络分析来分析物质，以确定重要物质和物质簇。 Results: The named-entity recognition algorithm achieved an F1 score of 0.67. A total of 28,447 substance entities and 5789 word co-occurrence pairs were extracted. “Histamine antagonists,” “famotidine,” “magnesium,” “vitamins,” and “steroids” were the most frequently mentioned substances. Network analysis revealed three clusters of substances, indicating certain medication patterns. Conclusions: This feasibility study indicates that network analysis can be used to characterize the medication strategies discussed in social media. Comparison with existing literature shows that this approach identifies substances that are promising candidates for drug repurposing, such as antihistamines, steroids, or antidepressants. In the context of a pandemic, the proposed method could be used to support drug repurposing hypothesis development by prioritizing substances that are important to users. %M 36007131 %R 10.2196/39582 %U https://formative.www.mybigtv.com/2022/10/e39582 %U https://doi.org/10.2196/39582 %U http://www.ncbi.nlm.nih.gov/pubmed/36007131