Individual Control Optimization of Drug Dosage Using Individual Bayesian Pharmacokinetics Model Approach
| Autor: | Catur Wulandari, Nur Iriawan, Brina Miftahurrohmah, Yogantara Setya Dharmawan |
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| Rok vydání: | 2019 |
| Předmět: |
Drug
education.field_of_study Computer science media_common.quotation_subject Bayesian probability Population 020206 networking & telecommunications 02 engineering and technology Predictor variables Gentamicin levels Pharmacokinetics Statistics 0202 electrical engineering electronic engineering information engineering Drug dosing Gentamicin Injection General Earth and Planetary Sciences 020201 artificial intelligence & image processing Dosing education General Environmental Science media_common |
| Zdroj: | Procedia Computer Science. 161:593-600 |
| ISSN: | 1877-0509 |
| Popis: | Giving the right dose of medicine is very important in the healing process from a disease. Improper dosing may worsen the disease or even can cause death. Drug dosing should not only be done based on the population because each individual has different body characteristics. Therefore, the drug dosage was carried out individually using the individual Bayesian pharmacokinetics modeling approach. This case evokes problems regarding how to obtain the estimated population and individual parameters and then determine the optimal dose. The purpose of this analysis is to get the parameters estimation of both population and individual and determine their optimal dose. The data used in this study is patient data who received gentamicin injection. Variables used is gentamicin levels in serum as response variables and sampling times and initial doses as predictor variables. The results obtained are individual pharmacokinetic models with 100% prediction accuracy and dose ranges that can still be tolerated for each individual. |
| Databáze: | OpenAIRE |
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