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A Bayesian Estimation Framework for Pharmacogenomics Driven Warfarin Dosing: A Comparative Study

The incorporation of pharmacogenomics information into the drug dosing estimation formulations has been shown to increase the accuracy in drug dosing and decrease the frequency of adverse drug effects in many studies in the literature. In this paper, an estimation framework based on the Bayesian str...

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Published in:IEEE journal of biomedical and health informatics 2015-09, Vol.19 (5), p.1724-1733
Main Authors: Oztaner, Serdar Murat, Temizel, Tugba Taskaya, Erdem, S. Remzi, Ozer, Mahmut
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description The incorporation of pharmacogenomics information into the drug dosing estimation formulations has been shown to increase the accuracy in drug dosing and decrease the frequency of adverse drug effects in many studies in the literature. In this paper, an estimation framework based on the Bayesian structural equation modeling, which is driven by pharmacogenomics, is proposed. The results show that the model compares favorably with the linear models in terms of prediction and explaining the variations in warfarin dosing.
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source IEEE Electronic Library (IEL) Journals
subjects Adolescent
Adult
Aged
Aged, 80 and over
Analytical models
Bayes methods
Bayes Theorem
Child
Cohort Studies
Cytochrome P-450 CYP2C9 - genetics
Data Mining
Data models
Databases, Factual
Equations
Estimation
Humans
Informatics
Mathematical model
Middle Aged
Pharmacogenetics - methods
Precision Medicine - methods
Turkey
Vitamin K Epoxide Reductases - genetics
Warfarin - administration & dosage
Warfarin - pharmacology
Whites - genetics
Young Adult
title A Bayesian Estimation Framework for Pharmacogenomics Driven Warfarin Dosing: A Comparative Study
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