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Probability Analysis on Associations of Adverse Drug Events with Drug-Drug Interactions

机译:药物不良反应与药物相互作用的关联性概率分析

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Adverse drug reaction (ADR) may cost a lot of unnecessary medical resources and leads to extra suffering on patients. To provide the prompt information about ADR and avoid the rate of occurrence of ADR is an important task yet to be done. The US Food and Drug Administration (FDA) provides a Adverse Event Reporting System (AERS) which contains a lot of clinical reports about ADRs. However, the biologists still do not know precisely which observed events are directly caused by drug-drug interactions. We use the probability analysis method to find the associations between a set of drugs and the symptoms for predicting the ADR and apply the decision tree to discovery the association rules between the drug-drug interactions and symptoms.
机译:药物不良反应(ADR)可能会花费大量不必要的医疗资源,并给患者带来额外的痛苦。提供有关ADR的及时信息并避免ADR发生率是一项重要的工作。美国食品和药物管理局(FDA)提供了不良事件报告系统(AERS),其中包含许多有关ADR的临床报告。但是,生物学家仍然不确切知道哪些观察到的事件是直接由药物相互作用引起的。我们使用概率分析方法找到一组药物与症状之间的关联以预测ADR,并应用决策树来发现药物相互作用与症状之间的关联规则。

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