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

机译:FAEERS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:Purposethe美国食品和药物管理局不良事件报告制度(FAEERS)是世界上最大的自发报告系统之一,因为报告复制和缺乏标准化在录制药物名称时难以使用。 未解决的数据质量问题可能扭曲统计分析,使结果难以在检测和监测药物产品的不利影响时解释。 本研究的目的是开发和实施数据清洁协议,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在FAERS数据库中持有的药物名称。

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