Research Article
[Retracted] Influence Factors and Predictive Models for the Outcome of Patients with Ischemic Stroke after Intravenous Thrombolysis: A Multicenter Retrospective Cohort Study
Figure 2
The predictive nomogram and ROC curve and calibration curve of nomogram predicting the prognosis at 3 months after IVT. (a) Predictive nomogram of prognosis at 3 months after IVT; (b) the ROC curve of nomogram predicting the prognosis at 3 months after IVT in training cohort; (c) the ROC curve of nomogram predicting the prognosis at 3 months after IVT in verification cohort; (d) the calibration curve of nomogram predicting the prognosis at 3 months after IVT in training cohort; (e) the calibration curve of nomogram predicting the prognosis at 3 months after IVT in verification cohort. Note: In the calibration curve, the abscissa represents the predicted probability for the poor prognosis, and the ordinate represents the actual probability for the poor prognosis. “Apparent” indicates the predicted probability of the risk model for the whole queue; “Bias-corrected” indicates the predicted probability corrected by bias-corrected approach Bootstrapping; “Ideal” indicates the ideal predicted probability. The better the coincidence of the three indicators is, the better the prediction performance of the nomogram is.
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