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http://hdl.handle.net/20.500.12188/15962| DC Field | Value | Language |
|---|---|---|
| dc.contributor.author | Jovanović, Marija | en_US |
| dc.contributor.author | Sokić, Dragoslav | en_US |
| dc.contributor.author | Grabnar, Iztok | en_US |
| dc.contributor.author | Vovk, Tomaž | en_US |
| dc.contributor.author | Prostran, Milica | en_US |
| dc.contributor.author | Erić, Slavica | en_US |
| dc.contributor.author | Kuzmanovski, Igor | en_US |
| dc.contributor.author | Vučićević, Katarina | en_US |
| dc.contributor.author | Miljković, Branislava | en_US |
| dc.date.accessioned | 2021-12-30T08:33:02Z | - |
| dc.date.available | 2021-12-30T08:33:02Z | - |
| dc.date.issued | 2015 | - |
| dc.identifier.uri | http://hdl.handle.net/20.500.12188/15962 | - |
| dc.description.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. | en_US |
| dc.language.iso | en | en_US |
| dc.relation.ispartof | Journal of pharmacy & pharmaceutical sciences : a publication of the Canadian Society for Pharmaceutical Sciences, Societe canadienne des sciences pharmaceutiques | en_US |
| dc.title | Application of Counter-propagation Artificial Neural Networks in Prediction of Topiramate Concentration in Patients with Epilepsy | en_US |
| dc.identifier.doi | 10.18433/j33031 | - |
| dc.identifier.volume | 18 | - |
| dc.identifier.issue | 5 | - |
| item.fulltext | No Fulltext | - |
| item.grantfulltext | none | - |
| crisitem.author.dept | Faculty of Natural Sciences and Mathematics | - |
| Appears in Collections: | Faculty of Natural Sciences and Mathematics: Journal Articles | |
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