Fig. 1

Predictor feature selection using the LASSO logistic regression model. A Te tuning parameter(λ) was determined in the LASSO model by using a tenfold crossvalidation and a minimum criterion. B The LASSO coefficient profile plot of 20 parameters was generated against the log (lambda) sequence. A vertical line was drawn at the corresponding value with Fig. A using cross-validation, and 12 nonzero parameters were selected. Notes: 1:Age, 2:Population, 3:Hypertension, 4: Fractures, 5:Bone cement dosage, 6:Anti-osteoporosis treatment, 7:Bone cement leakage, 8:Bone cement dispersion, 9:Contact between bone cement and endplate, 10:AVHRR, 11:Post-op Cobb angle, 12:Cobb angle restoration