Figure 1.

The feature importance of each variable is shown in the predictive XGBoost model for discriminating outpatient vs inpatient stay after THA. The feature with the highest importance was BMI while the diagnosis of AVN (not shown in the figure) did not play a role in predicting the outcome. Abbreviations: ASA, American Society of Anesthesiologist Physical Status Classification; CCI, Charlson Comorbidity Index; diagnosis_RA, diagnosis of Rheumatoid Arthritis; diagnosis_OA, diagnosis of Osteoarthritis; DM, diabetes mellitus; HOOSJR_pre, hip disability and osteoarthritis outcome score; mFI, Modified Frailty Index; RCRI, Revised Cardiac Risk Index; VR12_pre_mcs, VR12 mental component; VR12_pre_pcs, VR 12 physical component; VTE, venous thromboembolic event.