Mining FDA resources to compute population-specific frequencies of adverse drug reactions.
Mining FDA resources to compute population-specific frequencies of adverse drug reactions.
复制标题
DOI：
10.1109/bibm.2017.8217935
复制
发表时间：
2017-11
期刊：
影响因子：
--
通讯作者：
Xie L
中科院分区：
文献类型：
--
作者：
Poleksic A;Turner C;Dalal R;Gray P;Xie L
药物不良反应（adr）是世界上主要的健康和经济问题之一。随着药品不良反应数据的增加，越来越需要能够以易于使用和理解的形式组织和存储药品不良反应相关信息的软件工具。在这里，我们提出了一个循序渐进的计算程序，能够从存储在联邦药物管理局数据库中的大量患者安全报告中提取药物不良反应频率数据。我们的程序是第一个能够产生特定人群药物不良反应频率的程序。我们的方法生成的药物不良反应数据可以针对单一患者群体（如性别或年龄）或单一治疗特征（如药物剂量、治疗持续时间）或这些的任何组合。
Adverse drug reactions (ADRs) represent one of the main health and economic problems in the world. With increasing data on ADRs, there is an increased need for software tools capable of organizing and storing the information on drug-ADR associations in a form that is easy to use and understand. Here we present a step by step computational procedure capable of extracting drug-ADR frequency data from the large collection of patient safety reports stored in the Federal Drug Administration database. Our procedure is the first of its type capable of generating population specific drug-ADR frequencies. The drug-ADR data generated by our method can be made specific to a single patient population group (such as gender or age) or a single therapy characteristic (such as drug dosage, duration of therapy) or any combination of such.