Research Article

A Nomogram Based on CT Radiomics and Clinical Risk Factors for Prediction of Prognosis of Hypertensive Intracerebral Hemorrhage

Figure 7

Clinical decision curve of the three models. The vertical axis is the net benefit rate, and the horizontal axis is the probability threshold. DCA shows that the nomogram (blue line) adds more benefit than either all treatment schemes (red line) or no treatment schemes (light blue line) in predicting the prognosis of HICH when the threshold probability ranges from 0.1 to 1.0. Moreover, compared with the radiomics model (grey line) and clinical model (orange line), the nomogram model (blue line) achieved the highest net benefit.