Fig. 1

Overview of the methodology. This Figure illustrates the overview of the methodology. The admission, insurance, lab measurements, Elixhauser comorbidity, and the discharge information of the patients were extracted from MIMIC-III database and converted to an event log. The resultant event log was used as an input to the process mining discovery algorithm to produce a process model. The resultant process model along with the event logs were then fed to the DREAM algorithm and resulted in some time information related to the variables. The time information with the demographic and the severity scores of the patients were then fed to a NN to predict unplanned 30-day readmission of the ICU HF patients