Research Paper Volume 16, Issue 5 pp 4654—4669
Explainable machine learning in outcome prediction of high-grade aneurysmal subarachnoid hemorrhage
Figure 4. Summary plots of SHapley Additive exPlanations (SHAP) values. (A) SHAP feature importance quantified through the average absolute Shapley values. This plot illustrates the significance of each feature in development of the predictive model. (B) Representation of the influence exerted by each feature on the final model output, assessed via SHAP values distribution. Every individual patient is denoted by a data point within each row. The color indicates whether the continuous feature is at a high level (displayed in blue) or a low level (displayed in red) for that specific observation. When it comes to categorical features, the color blue signifies “yes”, while the color red corresponds to “no”. Location 1, 2, 3, 4, 5, 6, 7 denotes anterior cerebral artery, middle cerebral artery, internal cerebral artery, posterior cerebral artery, anterior communicating artery, posterior communicating artery and others, respectively.