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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.

Fig 5

doi: https://doi.org/10.1371/journal.pone.0242166.g005