Fig. 5: The extent to which data encoding prevents the leakage of non-targeted patient conditions from trained patient-care models.

a Model-specific and average performance across all models for predicting 25 latent patient disorders using the penultimate embedding generated from models trained on the MIMIC-III dataset. The chronic and acute disorders shown in b, c are subsets of 25 different conditions considered in this work. A single model predicts the presence/absence of all 25 disorders. Every point on all plots represents the respective model performance obtained during one of the five runs. The middle line within each violin plot represents the median, while the lines on either side represent the lower and upper quartiles. Source data are provided as a Source Data file.