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Standardisation of the FAERS database: a systematic approach to manually recoding drug name variants

机译:FAERS数据库的标准化:手动重新编码药物名称变体的系统方法

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PurposeThe US Food and Drug Administration Adverse Event Reporting System (FAERS), one of the world's largest spontaneous reporting systems, is difficult to use because of report duplication and a lack of standardisation in the recording of drug names. Unresolved data quality issues may distort statistical analyses, rendering the results difficult to interpret when detecting and monitoring adverse effects of pharmaceutical products. The aim of this study was to develop and implement a data cleaning protocol to identify and resolve drug nomenclature issues. The key data treatment' plan involved standardising drug names held in the FAERS database.
机译:目的美国食品和药物管理局不良事件报告系统(FAERS)是世界上最大的自发报告系统之一,由于报告重复且药物名称记录缺乏标准化,因此难以使用。未解决的数据质量问题可能会使统计分析失真,从而在检测和监视药品的不良影响时难以解释结果。这项研究的目的是开发和实施数据清理协议,以识别和解决药物命名问题。关键数据处理计划涉及标准化FAERS数据库中保存的药品名称。

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