Developing and validating machine learning models to predict length of hospitalization before obese patients undergo elective arthroplasty

Objectives: In-hospital resource utilization and length of stay (LOS) are increased in obese patients undergoing total joint arthroplasty. Such factors are disincentives for institutions participating in bundle-payment programs. Given the worsening obesity epidemic and increased utilization of arthroplasty [for full text, please go to the a.m. URL]