中国药房2011，Vol.22Issue(42)：3970-3972,3.
应用人工神经网络法预测地高辛血药浓度
Prediction of Blood Concentration of Digoxin by Artificial Neural Network
摘要
Abstract
OBJECTIVE: To explore the effects and characteristics of artificial neural network (ANN) on predicting blood concentration of digoxin. METHODS: Clinical information was collected from patients who administrated digoxin for a long time in our hospital during Mar. 2008 -Mar. 2010, among which 84 examples for modeling and the other 10 examples for validating. BPANN was applied to predict blood concentration of digoxin, and the results were compared with NONMEM. The mean impact value (MFV) for each factor was calculated and factors were sequenced according to their absolute MI Vs. RESULTS: The correction between measured value and predicted value got by NONMEM and ANN were 0.851 and 0.946, respectively. The MIVs of serum creatinine, weight and age wes higher than other factors. CONCLUSION: ANN can be used to process complicated relationships. It provides a beneficial clew to predict blood concentration of drugs.关键词
人工神经网络/地高辛/血药浓度/非线性混合效应模型Key words
Artificial neural network/ Digoxin/ Blood concentration/ NONMEM分类
医药卫生引用本文复制引用
陈荣,夏宗玲..应用人工神经网络法预测地高辛血药浓度[J].中国药房,2011,22(42):3970-3972,3.基金项目
常州四药临床药学科研基金项目(CS2009905) （CS2009905）
