Objective：To construct a radiomic risk model to predict the risk of epileptic seizures in patients with diffuse low -grade glioma and to preliminarily assess patient outcomes. Methods：Using the imaging datasets and clinical data provided by TCGA and TCIA databases，an epilepsy risk score model was constructed by radiomics methods. Further nomograms were established based on the model combined with clinical indicators to predict the probability of epilepsy and the long-term survival rate. Receiver operator characteristic (ROC)curve and decision curve analysis were used to evaluate the predictive effectiveness of predictive models. Results：In the current study，10 radiomic features were filtered out to establish the epilepsy risk scoring model. The area under ROC curve of internal verification and external verification were 0.900 and 0.636，respectively. The positive rate of epilepsy in high - risk group and low - risk group were 80.6% and 27.3%，respectively. There was significant difference in 5-year overall survival between the high-risk and low-risk groups(P=0.029). Clinical decision curve analysis showed that the net benefit rate of the image-clinical model was higher than that of the clinical prediction model. The calibration curve showed that the 3-year，5-year survival nomogram had good calibration and differentiation ability and the 5-year overall survival between the high risk group and the low risk group in the nomogram had significant difference (P=0.008). Conclusion：In the current study，a radiomic model based on preoperative MRI of diffuse low-grade glioma was established for non-invasive prediction of the associated epilepsy and prognosis，which provides a reference for the individualized treatment strategies.