Application of Counter-propagation Artificial Neural Networks in Prediction of Topiramate Concentration in Patients with Epilepsy

Jovanović, Marija; Sokić, Dragoslav; Grabnar, Iztok; Vovk, Tomaž; Prostran, Milica; Erić, Slavica; Kuzmanovski, Igor; Vučićević, Katarina; Miljković, Branislava

doi:10.18433/j33031

Application of Counter-propagation Artificial Neural Networks in Prediction of Topiramate Concentration in Patients with Epilepsy

Journal

Journal of pharmacy & pharmaceutical sciences : a publication of the Canadian Society for Pharmaceutical Sciences, Societe canadienne des sciences pharmaceutiques

Date Issued

2015

Author(s)

Jovanović, Marija

Sokić, Dragoslav

Grabnar, Iztok

Vovk, Tomaž

Prostran, Milica

Erić, Slavica

Vučićević, Katarina

Miljković, Branislava

DOI

10.18433/j33031

Abstract

The application of artificial neural networks in the pharmaceutical sciences is broad, ranging from drug discovery to clinical pharmacy. In this study, we explored the applicability of counter-propagation artificial neural networks (CPANNs), combined with genetic algorithm (GA) for prediction of topiramate (TPM) serum levels based on identified factors important for its prediction.