Comparison of the effectiveness of different machine learning algorithms in predicting new fractures after PKP for osteoporotic vertebral compression fractures

Abstract

Highlights 1. Machine learning significantly outperformed logistic regression models in predicting new fractures after osteoporotic vertebral compression fractures. 2. The random forest model performs best among these machine learning models.

Keywords

• Machine learning
• Random forest
• Logistic regression
• Osteoporosis
• Percutaneous kyphoplasty
• New fracture