Fig. 2

The individual variable importance for the rule-based model. Notes The individual variable contributing to the outcome is defined as the sum of the importance of the linear term and the importance of every rule in which the variable appears divided by the total number of conditions in the rule. The 12 most important input variables for predicting the readmission outcome are (1) I10_NDX: Number of ICD-10-CM diagnoses coded on the record; (1) APRDRG_Severity: Severity of Illness Subclass based on 3M All Patient Refined DRG; (2) DISPUNIFORMrr: Disposition of patient; (3) LOS: Length of Stay; (4) mortal_score: Elixhauser Comorbidity Index Score; (5) APRDRG_Severity: All Patient Refined DRG: Severity of Illness Subclass; (6) AGE: the age at admission; (7) Resident: patient as a resident of the State in which he or she received hospital care; (8) HTN_CX: Elixhauser comorbidity measure of Hypertension, complicated; (9) pay1r: Expected primary payer; (10) I10_NPR: number of ICD-10-PCS procedures on this discharge; (11) CANCER_METS: Elixhauser comorbidity measure of Metastatic cancer; and (12) ZIPINC_QRTL: Median household income for patient's ZIP Code (based on current year)