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Identifying Adverse Drug Reactions of Hypolipidemic Drugs from Chinese Adverse Event Reports

机译:从中国不良事件报告中识别降血脂药物的不良药物反应

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Hyperlipidemia is one of the important risk factors of cardiovascular and cerebrovascular diseases. Monitoring of adverse reactions of hypolipidemic drugs is very crucial for clinical administration. In this study, in order to explore the occurrence characteristics of ADRs for hypolipidemic drugs, we manually annotated and normalized the ADRs of hypolipidemic drugs from Chinese adverse event reports. Totally 579 records are involved in the study. Also we constructed a new dictionary of ADRs and a classification standard of the Severity of ADR to standardize the description of adverse drug reactions. Finally, we got a dictionary of ADR which have 171 terms, of 129 are from WHO-ART and 42 are self-defined. A new classification criteria for the severity of ADRs were built and each record were annotated by the criteria. Our annotated corpus, ADR dictionary and the classification standard can provide data source and dictionary resource to support future machine-learning-based ADR mining to better explore ADRs of hypolipidemic drugs.
机译:高脂血症是心血管和脑血管疾病的重要危险因素之一。监测降血脂药物的不良反应对于临床给药至关重要。在这项研究中,为了探讨降血脂药物的ADR发生特征,我们从中国不良事件报告中手动注释和归一化了降血脂药物的ADR。该研究共涉及579条记录。我们还构建了新的ADR字典和ADR严重性分类标准,以规范药物不良反应的描述。最后,我们得到了ADR词典,其中有171个术语,其中129个来自WHO-ART,其中42个是自定义的。建立了针对ADR严重性的新分类标准,并用该标准注释了每条记录。我们带注释的语料库,ADR词典和分类标准可以提供数据源和词典资源,以支持将来基于机器学习的ADR挖掘,从而更好地探索降血脂药物的ADR。

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