Using the National Trauma Data Bank (NTDB) and machine learning to predict trauma patient mortality at admission
Fig 5
SHAP feature importance metrics for 4 patients that were correctly predicted as survived or deceased.
Output values (bold), expressed as log odds ratio of probability of survival to probability of deceased (i.e. log()), that are < 0 represent deceased patients (Cases A, C, D). Blue bars indicate that the feature value is increasing the probability of survival while red bars indicate that the feature is decreasing it.