Multi-Center Registry Cohort Study on Prognostic Factors and Prediction Model Construction in Aneurysmal SAH

"Area Under the Curve (ROC): Measures the overall performance of the model across all classification thresholds. A higher AUC value indicates better performance.~Accuracy: The proportion of correctly predicted outcomes (both positive and negative) out of all predictions made.~Precision (Positive Predictive Value, PPV): The proportion of correctly predicted positive outcomes out of all predicted positive outcomes.~Sensitivity (True Positive Rate, TPR): The proportion of actual positive outcomes that are correctly identified by the model.~Specificity (True Negative Rate, TNR): The proportion of actual negative outcomes that are correctly identified by the model."