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Fig. 5 | Malaria Journal

Fig. 5

From: Characterization of T cell activation and regulation in children with asymptomatic Plasmodium falciparum infection

Fig. 5

T cell regulatory and activation markers distinguish between asymptomatic and symptomatic Plasmodium falciparum infections. It was assessed whether a machine-learning model based on pre-iRBC stimulation levels of CD8+CD69+ and CD8+CD25+CD69+ T cells and post-stimulation levels of CD4+CD25+Foxp3+ and CD8+CD25+Foxp3+ T cells could accurately predict disease status in asymptomatic and symptomatic children. Thirty-eight children had data for all the 4 T cell phenotypes considered. The children were randomly separated into 5 groups. Fixing one group as a test group, we trained a machine-learning model (precisely a support vector machine) on the other 4 groups and then predicted the disease status of children found in the test group. The process was repeated until each of the groups was used exactly once as a test group. The plot shows a representative heatmap of the predicted probability that each child is either asymptomatic or symptomatic. Strikingly, as expected, most asymptomatic (respectively symptomatic) children have a higher predicted probability of being asymptomatic (respectively symptomatic)

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