The training and use of an artificial neural network to monitor use of medication in treatment of complex patients.
The training and use of an artificial neural network to monitor use of medication in treatment of complex patients.
复制标题
训练和使用人工神经网络来监测治疗复杂患者的药物使用情况。
DOI：
10.1097/00004669-199107000-00005
复制
发表时间：
1991
期刊：
影响因子：
--
通讯作者：
Michel,AN
中科院分区：
文献类型：
--
作者：
Gray,DL;Ash,SR;Jacobi,J;Michel,AN
An artificial-neural-network-based drug interaction warning system was developed for use with a computerized real-time entry medical records system. The goal of the study was to provide physicians and nurses with timely warnings of potential drug interactions as therapies were prescribed. In a dialysis unit, physicians and clinical pharmacists defined rules of proper drug therapy, then trained a neural network with those rules. When the network was used to review the therapies of this patient population, a number of inconsistencies were discovered, and medication orders were changed on several patients. Real-time implementation of this monitoring system could provide messages to assure that drug therapy is consistent and proper, according to rules created by the providers of healthcare, thus preventing occasional mistakes in drug therapy.
