Fig. 3

(A) Bootstrap internal validation in Model-logit, with the mean AUC 0.819 (95% CI 0.736–0.903); (B) Bootstrap internal validation in Model-score, with the mean AUC 0.823 (95% CI 0.742–0.903). (C) Decision curve analysis of the model-logit (blue) and the model-score (red). The decision curve shows that if the threshold probability of an individual is 10–82%, using this model to predict HE rates ≥ 70% is better. AUC, area under the curve; CI, Confidence interval; HE, hematoma evacuation, Model-logit, logistic model; Model-score, scoring model.