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. 2022 Aug 5;37(4):674–683. doi: 10.3803/EnM.2022.1461

Fig. 3.

Fig. 3.

Performance of the fracture prediction model in the training set using Cox proportional hazard and DeepSurv methods (A) according to clinical models and (B) analytic methods. Model 1 adjusted for age and sex, model 2 additionally adjusted for body mass index, and model 3 additionally adjusted for the use of glucocorticoids and secondary osteoporosis. The C-index values were as follows: Model 1 (Cox proportional hazard [CoxPH], 0.712; 95% confidence interval [CI], 0.652 to 0.773; DeepSurv without images, 0.765; 95% CI, 0.693 to 0.837; DeepSurv with images, 0.794; 95% CI, 0.760 to 0.828); Model 2 (CoxPH, 0.709; 95% CI, 0.648 to 0.771; DeepSurv without images, 0.737; 95% CI, 0.683 to 0.791; DeepSurv with images, 0.782; 95% CI, 0.755 to 0.810); Model 3 (CoxPH, 0.712; 95% CI, 0.654 to 0.770; DeepSurv without images, 0.740; 95% CI, 0.686 to 0.795; DeepSurv with images, 0.764; 95% CI, 0.739 to 0.789). aP<0.05 between groups.