Figure 1.

Data processing and machine learning approach for sepsis mortality prediction. All variables were obtained from structured data elements within the electronic health record. Certain data elements were linked to existing classification systems. Vital signs were flattened (first, last, mean, maximum, and minimum values were obtained). Continuous variables were subsequently discretized using kmeans clustering before the random forest model was constructed. ROC = receiver operating characteristic curve.