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OJBTM
Online Journal of Bioinformatics ©
Volume 16(3): 344-356, 2015.
Machine learning classification for HIV biomarkers.
Anubha Dubey.
ABSTRACT
Dubey A, Machine learning classification for HIV
biomarkers, Onl J Bioinform.,
16(3):
344-356, 2015. Cytokines IFN-γ,
IL-12,IL-7,IL-15 and IL-10 could be used as biomarkers
for HIV to predict viral load set-point and subsequent disease progression.
Recent studies suggest that combinations of soluble biomarkers may prove more
powerful than single factors for predicting HIV disease. Machine learning
classifies HIV biomarkers for diagnosis progression and treatment of the
disease. Decision tree induction and Naïve bayes
algorithms of WEKA software were used to classify and compare CD4+count and
IL-10,P24,IFN- biomarkers for diagnosis and screening
of HIV/AIDS.
Keywords: Cytokines,
Interferon, Interleukin, Biomarker, Machine learning.
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