Fig. 4From: Development and validation of an early warning model for hospitalized COVID-19 patients: a multi-center retrospective cohort studyDistribution of SHapley Additive exPlanations (SHAP) values of the included predictors (based on mean SHAP magnitude) for the random forest model. For each predictor, each dot represents the impact of that predictor for a single prediction. The colors of the dots correspond with the value for the specific predictor. Thus, pink dots with positive SHAP values indicate that high values of the predictor are associated with a high risk of clinical deterioration. Conversely, blue dots with positive SHAP values indicate that low values of the predictor are associated with a high risk of clinical deteriorationBack to article page