Fig. 3
From: Health improvement framework for actionable treatment planning using a surrogate Bayesian model
The intervention variable space was regarded as a grid graph, and the grid points (nodes) were connected to plan a path. The nodal probability was calculated using the surrogate model. The actionability was defined as the product of nodal probabilities on a specified path. The most actionable (optimal) path for each node was calculated, and the output path was the optimal path to the node with the most improved predictive value within the search iteration count, L. Pseudocode of path search algorithm.
