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Figure 3 | BMC Veterinary Research

Figure 3

From: Identifying associations between pig pathologies using a multi-dimensional machine learning methodology

Figure 3

Associations between the variables expressing the batch-status for the different pathologies as identified by the pruned network, N = 6485 batches of slaughtered pigs. This network encloses the joint probability of the pathology batch-status variables with the arrows representing the associations between them (pointing in the direction reflected by the data structure). The figures beside the arrows represent the estimated relative risk (RR) reflecting the strength of the association (the figures between brackets represent the 95% confidence intervals). The thickness of the arrows reflects the strength of the association. The thinnest arrows represent mild associations (RRs between 0.66-1 and 1–1.5); the intermediate thickness represents moderate associations (RRs between 0.5-0.66 and 1.5-2.5); and the thickest ones represent strong associations (RRs less than 0.5 and over 2.5). The arrows in orange represent positive association (RRs > 1) and the arrows in blue represent negative associations (RRs < 1). To facilitate the visualization the variables are colour-coded according to the organs they are attributed to: purple for lungs, red for the heart, brown for the liver, green for the peritoneum, and pink for the skin/tail. Colour gradients are used for enzootic pneumonia and pleurisy batch-status variables to indicate the different levels of prevalence (high, moderate/low and zero).

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