Pharmacodynamic population analysis in chronic renal failure using artificial neural networks--a comparative study

Neural Netw. Jun-Jul 2003;16(5-6):841-5. doi: 10.1016/S0893-6080(03)00084-4.

Abstract

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.

Publication types

  • Comparative Study
  • Research Support, U.S. Gov't, Non-P.H.S.

MeSH terms

  • Artificial Intelligence*
  • Humans
  • Kidney Failure, Chronic* / drug therapy
  • Kidney Failure, Chronic* / metabolism
  • Models, Biological*
  • Neural Networks, Computer
  • Pharmacokinetics*