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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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