TP3.1 Moderate Predictive Ability of Machine Learning for Achievement of Minimal Clinically Important Difference for the Pain and Healthy Utility Scores after Hip Arthroscopy: Analysis From the Femoroacetabular Impingement RandomiSed Controlled Trial (FIRST) and Embedded Prospective Cohort
Abstract Background To predict achievement of the minimal clinically important difference (MCID) for the Visual Analogue Scale (VAS) and EuroQol-5D (EQ-5D) score at six and 12 months using both logistic regression and machine learning models. Methods This analysis used data from the Femoroacetabular Impingement Randomi...