Machine Learning Using Preoperative Patient Factors Can Predict the Severity of Pain Following Primary Total Hip Arthroplasty

Key Points

• The study aims to evaluate the efficacy of machine learning models in predicting postoperative pain severity using preoperative factors.
• Developed multiple machine learning models to analyze preoperative patient data.
• Compared performance of these models against traditional regression approaches.
• Identified key preoperative predictors of long-term postoperative pain.
• Machine learning models outperformed traditional regression methods.
• Key preoperative factors were identified as significant predictors of pain severity.
• Potential for improved identification of patients at risk for persistent pain if validated externally.

Abstract