Development and internal validation of machine learning algorithms to predict patient satisfaction after total hip arthroplasty.

Machine learning algorithms demonstrated fair discriminative ability in predicting patient satisfaction after THA. We have identified modifiable and non-modifiable predictors of postoperative satisfaction which could enhance preoperative counselling and improve health optimization prior to THA.