Predicting a single HIV drug resistance measure from three international interpretation gold standards
Asian Pacific Journal of Tropical Medicine
;
(12): 566-572, 2012.
Article
in English
| WPRIM
| ID: wpr-819631
ABSTRACT
OBJECTIVE@#To investigate the possibility of combining the interpretation of three gold standard interpretation algorithms using weighted heuristics in order to produce a single resistance measure.@*METHODS@#The outputs of HIVdb, Rega, ANRS were combined to obtain a single resistance profile using the equally weighted voting algorithm, accuracy based weighing voting algorithm and the Bayesian based weighted voting algorithm techniques.@*RESULTS@#The Bayesian based voting combination increased the accuracy of the resistance profile prediction compared to phenotype, from 58% to 69%. The equal weighted voting algorithm and the accuracy based algorithm both increased the prediction accuracy to 60%.@*CONCLUSION@#From the result obtained it is evident that combining the gold standard interpretation algorithms may increase the predictive ability of the individual interpretation algorithms.
Full text:
Available
Index:
WPRIM (Western Pacific)
Main subject:
Phenotype
/
Reference Standards
/
Algorithms
/
HIV Infections
/
Statistics as Topic
/
Anti-HIV Agents
/
Drug Resistance, Viral
/
Therapeutic Uses
/
Drug Therapy
/
Genotype
Type of study:
Prognostic study
Limits:
Humans
Language:
English
Journal:
Asian Pacific Journal of Tropical Medicine
Year:
2012
Type:
Article
Similar
MEDLINE
...
LILACS
LIS