Interpretation of cluster structures in pain ‐related phenotype data using explainable artificial intelligence (XAI)

ConclusionsAssessing the variable importance in clustering is important for understanding any cluster structure. XAI models are able to provide a human ‐understandable interpretation of the cluster structure. Model selection must be adapted individually to the clustering problem. The advantage of comprehensibility comes at an expense of accuracy.
Source: European Journal of Pain - Category: Anesthesiology Authors: Tags: ORIGINAL ARTICLE Source Type: research