Home | Repositories | Statistics | About





Year: 2015





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


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



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.


Publisher:


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



Identifier: oai:repository.ukim.mk:20.500.12188/15962
Identifier: http://hdl.handle.net/20.500.12188/15962
Identifier: 10.18433/j33031
Identifier: 18
Identifier: 5



TitleDateViews
Application of Counter-propagation Artificial Neural Networks in Prediction of Topiramate Concentration in Patients with Epilepsy201519