Background: Predicting the risk of recurrence during hospitalization in patients with minor ischemic stroke (MIS) is of great significance for clinical and treatment. Compared with early models and prognostic scores, nomogram is a better visualization tool for predicting clinical outcomes. It combines different factors to develop a graphical continuous scoring system, and accurately calculates the risk probability of adverse outcomes based on individual characteristics. Our goal is to develop and validate a nomogram for individualized prediction of hospitalization recurrence in patients with mild ischemic stroke in the Chinese population.Methods: Based on retrospective collection, a single center study was conducted in the first affiliated Hospital of Anhui Medical University from January 2014 to December 2019. The subjects were stroke patients with NIHSS≤5.In order to generate the nomogram, age, systolic blood pressure,previous heart disease, serum total bilirubin, ferritin and smoking were integrated into the model. The predictive accuracy of the nomogram model to predict the probability of unfavorable outcome was assessed by calculation of the area under the receiver operating characteristic curve (AUC–ROC). Calibration of the risk prediction model was assessed by the plot comparing the observed probability of unfavorable outcome against the predicted, and by using the Hosmer–Lemeshow test.Results: Age at admission (OR,0.946; 95% CI,-0.002 to 0.048), SBP (OR,0.012,95%CI,0.000 to 0.024), previous heart disease (OR,0.867,95%CI, 0.084 to 1.651), UA (OR,-0.003,95%CI,-0.006 to 0.001), serum total bilirubin (OR,-0.022,95%CI,-0.036 to -0.008), ferritin (OR,0.004,95%CI, 0.002 to 0.005), smoking (OR,0.494,95%CI,-0.115 to 1.103) are significant predictors of in-hospital recurrence in Chinese patients with minor ischemic stroke.The model shows good discrimination, the AUC-ROC value is 0.737 (95%CI:0.676-0.798), and has perfect calibration performance. Calibration was good (p=0.1457 for the Hosmer-Lemesshow test), which could predict the risk of recurrence of MIS patients during hospitalization.Conclusion: The nomogram developed and validated in this study can provide individualized, intuitive and accurate prediction of recurrence in Chinese patients with minor ischemic stroke during hospitalization.