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Online Journal of Bioinformatics ©
Volume 16(3): 344-356, 2015.
Machine learning classification for HIV biomarkers.
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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