PREOPERATIVE PREDICTION AND RISK FACTOR IDENTIFICATION OF HOSPITAL LENGTH OF STAY FOR TOTAL JOINT ARTHROPLASTY PATIENTS USING MACHINE LEARNING

Preoperative Prediction and Risk Factor Identification of Hospital Length of Stay for Total Joint Arthroplasty Patients Using Machine Learning

Background: The aim of this study was to improve understanding of hospital length of stay (LOS) in patients undergoing total joint arthroplasty (TJA) in a high-efficiency, hospital-based pathway.Methods: We retrospectively reviewed 1401 consecutive primary and revision TJA patients across 67 patient and preoperative care characteristics from 2016 t

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