Figure 1 | Scientific Reports

Figure 1

From: The feasibility of a Bayesian network model to assess the probability of simultaneous symptoms in patients with advanced cancer

Figure 1

Directed acyclic graph of the Baysian network; as constructed during structure learning by the algorithm with the lowest prediction error estimate (Tabu search algorithm). Edges (arrows) between nodes indicate that the model found a direct association between those variables. An edge points from a parent node towards a child node, indicating that the BN structure found that the child node is conditionally dependent on the parent node.

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