Web-scale pharmacovigilance: listening to signals from the crowd
Web-scale pharmacovigilance: listening to signals from the crowd
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DOI：
10.1136/amiajnl-2012-001482
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发表时间：
2013-05-01
影响因子：
6.4
通讯作者：
Horvitz, Eric
中科院分区：
文献类型：
--
作者：
White, Ryen W.;Tatonetti, Nicholas P.;Horvitz, Eric
药物不良事件会导致大量的发病率和死亡率，并且通常在药物上市后被发现。我们假设互联网用户可能通过在线信息搜索提供有关药物不良事件的早期线索。我们对 2010 年收集的网络搜索日志数据进行了一项大规模研究。我们特别关注帕罗西汀和普伐他汀的特定药物配对，据报道，在分析中使用的在线日志时间段后，这两种药物的相互作用会导致高血糖。我们还检查了已知与高血糖相关和与高血糖无关的一组药物对。我们发现可以从搜索日志中挖掘药物相互作用的匿名信号。与电子健康记录 (EHR) 等其他来源的分析相比，日志的收集和挖掘成本低廉。结果表明，计算机用户群体的搜索活动日志有助于药物安全监测。
Adverse drug events cause substantial morbidity and mortality and are often discovered after a drug comes to market. We hypothesized that Internet users may provide early clues about adverse drug events via their online information-seeking. We conducted a large-scale study of Web search log data gathered during 2010. We pay particular attention to the specific drug pairing of paroxetine and pravastatin, whose interaction was reported to cause hyperglycemia after the time period of the online logs used in the analysis. We also examine sets of drug pairs known to be associated with hyperglycemia and those not associated with hyperglycemia. We find that anonymized signals on drug interactions can be mined from search logs. Compared to analyses of other sources such as electronic health records (EHR), logs are inexpensive to collect and mine. The results demonstrate that logs of the search activities of populations of computer users can contribute to drug safety surveillance.