Fig. 2From: Comparison of the effectiveness of different machine learning algorithms in predicting new fractures after PKP for osteoporotic vertebral compression fracturesHeatmap. Each square indicates the correlation between the factors in that row and column, and the colour is used to indicate the amount of correlation. Factors near positive colours are high expressions and positive correlations, while factors near negative colours are low expressions and negative correlations. Abbreviation: hypert (hypertension); Heart.dis (heart diseases); resp.dis (respiratory diseases); cerebro.dis (cerebrovascular disease); ats.time (time from admission to surgery); fract.num (number of fractured vertebral); fract.loc (fracture vertebral location); para.leak (paravertebral leakage); inter.leak (intervertebral leakage); spinal.leak (spinal leakage); post.cobb (postoperation cobb); cement.dis (cement distribution); fract.typ (fracture type); anti.ost (anti-osteoporosis); VHRA (vertebral height recovery rate)Back to article page