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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.