Fig. 2: Receiver operating characteristic (ROC) curves and feature importance plots of the multi-factorial models predicting survival of NACC individuals at different time points.
From: Machine learning models identify predictive features of patient mortality across dementia types
A ROC curves of the 1-year, 3-year, 5-year, and 10-year survival models. B Feature importance as illustrated by the SHapley Additive exPlanations (SHAP) beeswarm plots of the 1-year, 3-year, 5-year, and 10-year survival models. The SHAP values on the x-axis have log-odds units and represent the impact of the feature on the model output. For each feature, each individual patient is represented by a single point, and the x-position of a point represents the impact of that feature on that patient. The color of a point corresponds to the patient’s value for that feature along a continuous scale from low to high.
