Figure 1.

Analytic strategy. The left panel shows all combinations of parameters included in separate machine learning models, with dark shading denoting the primary models of interest and light shading denoting secondary models; EM, electron microscopy; Dem/Clin, demographics and clinical characteristics. The center panel illustrates that on the basis of the primary models with all predictors, including histologic and ultrastructural (EM) features and Dem/Clin, analyses using only the top 5, 10, 15, 20, etc. most predictive variables were conducted. The right panel shows that the top descriptors list was determined on the basis of variable importance and iAUC and each of these top descriptors were assessed in unadjusted Cox models.