Objective:To compare the performance of predictive models which were established by support vector machine(SVM)and traditional logistic regression and to study the new method of early prognosis in the patients with ICH. Methods:Totally 339 patients with ICH were collected and followed up the clinical outcomes for 21 days. Using the random number method,the original sample was divided into two groups according to the proportion of 3∶1. One group(254 cases) was regarded as a training set for screening the variables and establishing the prediction model and the another group(85 cases) was used as validation set for evaluating the model effect. SVM and the conventional statistical methods of logistic regression were used to construct the predictive models. Results:Through the discriminant validation of the forecast of 85 patients with ICH,the predictive ability of SVM1 was the strongest in the four models. The accuracy and Youden index of four models were as follows,logistic regression:72.9%(62.0%~81.7%),0.441 (0.249~0.633);SVM1:82.4%(72.3%~89.5%),0.632(0.465~0.799);SVM2:78.8%(68.4%~86.6%),0.557 (0.379~0.735);SVM3:78.8%(68.4%~86.6%),0.563 (0.385~0.741). Conclusion:The model based on SVM could better predict the early prognosis of the patients with ICH. The efficacy of SVM model is superior to that of logistic regression model.