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...

Full description

Saved in:
Bibliographic Details
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
Format: Article
Language:English
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
Citations: Items that this one cites
Items that cite this one
Online Access:Get full text
Tags: Add Tag
No Tags, Be the first to tag this record!
Description
Summary: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.
ISSN:2168-2194
2168-2208
DOI:10.1109/JBHI.2014.2336974