关于药物相互作用检测的两个知识库的比较。
Comparison of two knowledge bases on the detection of drug-drug interactions.
作者信息
Del Fiol G, Rocha B H, Kuperman G J, Bates D W, Nohama P
机构信息
Pontificia Universidade Catolica do Parana, Curitiba, Brazil.
出版信息
Proc AMIA Symp. 2000:171-5.
This paper describes a drug ordering decision support system that helps with the prevention of adverse drug events by detecting drug-drug interactions in drug orders. The architecture of the system was devised in order to facilitate its use attached to physician order entry systems. The described model focuses in issues related to knowledge base maintenance and integration with external systems. Finally, a retrospective study was performed. Two knowledge bases, developed by different academic centers, were used to detect drug-drug interactions in a dataset with 37,237 drug prescriptions. The study concludes that the proposed knowledge base architecture enables content from other knowledge sources to be easily transferred and adapted to its structure. The study also suggests a method that can be used on the evaluation and refinement of the content of drug knowledge bases.
本文描述了一种药物订购决策支持系统，该系统通过检测药物订单中的药物相互作用来帮助预防药物不良事件。该系统的架构旨在便于与医生订单录入系统相连使用。所描述的模型侧重于与知识库维护以及与外部系统集成相关的问题。最后，进行了一项回顾性研究。使用由不同学术中心开发的两个知识库，在一个包含37237张药物处方的数据集里检测药物相互作用。该研究得出结论，所提出的知识库架构能够使来自其他知识源的内容轻松转移并适配其结构。该研究还提出了一种可用于评估和完善药物知识库内容的方法。
Zotero 插件