FIGURE 5.

Clustering SHAP values to reveal healthy aging trajectories. Individuals were clustered by agglomerative clustering based on their contextualized SHAP values. Chronological age was not added as a clustering variable (a) UMAP 2D‐projections were colored by chronological age, identified cluster and sum of contextualized SHAP values from left to right, respectively. It is thus possible to see, according to the age distribution of the different clusters, profiles of individuals with accelerated aging. (b) Signature of each cluster for the 24 variables allowing significant distinction between at least 2 clusters. The heatmap shows the average value of each variable for each cluster. (c) Decision plot profile for each cluster. Starting from the bottom, the cumulative contribution of each variable was presented (in positive and negative values) to the predicted final value (at the top of the diagram). For each cluster, we indeed have the “average” individual representative of the cluster.