Please use this identifier to cite or link to this item: http://hdl.handle.net/20.500.12188/15962
Title: Application of Counter-propagation Artificial Neural Networks in Prediction of Topiramate Concentration in Patients with Epilepsy
Authors: Jovanović, Marija
Sokić, Dragoslav
Grabnar, Iztok
Vovk, Tomaž
Prostran, Milica
Erić, Slavica
Kuzmanovski, Igor 
Vučićević, Katarina
Miljković, Branislava
Issue Date: 2015
Journal: Journal of pharmacy & pharmaceutical sciences : a publication of the Canadian Society for Pharmaceutical Sciences, Societe canadienne des sciences pharmaceutiques
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.
URI: http://hdl.handle.net/20.500.12188/15962
DOI: 10.18433/j33031
Appears in Collections:Faculty of Natural Sciences and Mathematics: Journal Articles

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