Figure 2.

SHAP (Shapley Additive Explanations) framework of top 15 final features for the prediction of hospital mortality. Each dot denotes a SHAP value for a feature in a particular individual. The dot color represents if the feature is present or absent (categorical data) or high versus low (continuous data): blue denotes absent/low and red denotes present/high. The x-axis represents the scale of SHAP values. A positive SHAP value for a particular feature indicates that the feature increases the predicted risk of the outcome, whereas a negative value indicates that the feature reduces the predicted risk of the outcome. The y-axis includes features ordered from top to bottom by their impact on the model prediction based on mean absolute SHAP values. Abbreviations: BUN, blood urea nitrogen; EXP, exposure; FiO₂, highest fraction of inspired O₂, ICU, intensive care unit; KDIGO, Kidney Disease: Improving Global Outcomes; Non-EXP, nonexposure; UKY, University of Kentucky; UTSW, University of Texas Southwestern.