Pharmacodynamic population analysis in chronic renal failure using artificial neural networks--a comparative study.
This work presents a pharmacodynamic population analysis in chronic renal failure patients using Artificial Neural Networks (ANNs). In pursuit of an effective and cost-efficient strategy for drug delivery in patients with renal failure, two different types of ANN are applied to perform drug dose-effect modeling and their performance compared. Applied in a clinical environment, such models will allow for prediction of patient response to the drug at the effect site and, subsequently, for adjusting the dosing regimen.
Gaweda
Adam E
AE
Kidney Disease Program, University of Louisville, Louisville, KY 40202, USA.
Jacobs
Alfred A
AA
Brier
Michael E
ME
Zurada
Jacek M
JM
D001185:Artificial Intelligence; D006801:Humans; D007676:Kidney Failure, Chronic / Q000188:drug therapy / Q000378:metabolism; D008954:Models, Biological; D016571:Neural Networks, Computer; D010599:Pharmacokinetics