Fig. 3From: Comparison of the effectiveness of different machine learning algorithms in predicting new fractures after PKP for osteoporotic vertebral compression fracturesVariable importance distribution in the random forest model. Time of injury, history of previous fracture, bone density, rate of vertebral height recovery, and age were ranked in order of importance for new fractures after surgery. Other factors in the random forest model were not important enough for the effect of new fractures after surgeryBack to article page