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Fig. 3 | BMC Medicine

Fig. 3

From: Machine learning approaches classify clinical malaria outcomes based on haematological parameters

Fig. 3

Density estimates of the haematological parameters between nMI, UM, and SM cases. The plots indicate the distribution of each haematological parameter for each clinical diagnosis category. The plot uses the kernel density estimate that allows for smoother distributions by smoothing out the noise. The peaks of each density plot are displaying the point where values are concentrated over the interval. Below each plot is the label of the haematological parameter it is estimating

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