Clinical application of artificial neural network (ANN) modeling to predict pharmacokinetic parameters of severely ill patients
-
Published:2003-09
Issue:9
Volume:55
Page:1233-1251
-
ISSN:0169-409X
-
Container-title:Advanced Drug Delivery Reviews
-
language:en
-
Short-container-title:Advanced Drug Delivery Reviews
Subject
Pharmaceutical Science
Reference63 articles.
1. Modeling the pharmacokinetics and pharmacodynamics of a unique oral hypoglycemic agent using neural networks;Haidar;Pharm. Res.,2002
2. Artificial neural networks as a novel approach to integrated pharmacokinetic–pharmacodynamic analysis;Gobburu;J. Pharm. Sci.,1996
3. Application of neural networks to population pharmacokinetic data analysis;Chow;J. Pharm. Sci.,1997
4. Feasibility of developing a neural network for prediction of human pharmacokinetic parameters from animal data;Hussain;Pharm. Res.,1993
5. I. Nestorov, S.T. Hadjitodorov, I. Petrov, M. Rowland, Empirical versus mechanistic modeling: comparison of an artificial neural network to a mechanistically based model for quantitative structure pharmacokinetic relationships of a homologous series of barbiturates. Pharm. Sci. [online computer file], 1, 1999.
Cited by
30 articles.
订阅此论文施引文献
订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献