Fig. 3: Summary of feature importance. | Communications Medicine

Fig. 3: Summary of feature importance.

From: Predicting arrhythmia recurrence post-ablation in atrial fibrillation using explainable machine learning

Fig. 3: Summary of feature importance.

Features are sorted in descending order of importance. Features are classified as either LA geometry (black), clinical attributes (blue), fibrosis (green), ablation-delivered scar (orange), or results from biophysically detailed simulations (magenta). Red dots indicate patients with a high feature value for continuous variables, or presence of variable in binary cases. The vertical center line represents no impact on model outcome, while right-shifted data suggests association with recurrence and left-shifted data indicates non-recurrence. AAD antiarrhythmic drug, RPV right pulmonary veins.

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