To develop and internally validate a model for predicting the 1-year prognosis of intracerebral hemorrhage (ICH) patients after minimally invasive surgery (MIS). Methods: We retrospectively analyzed the clinical data of patients who underwent MIS for ICH evacuation at Tongji Hospital from June 2016 to December 2018. A multivariate regression model was employed to identify the independent risk factors that affect prognosis, and a nomogram was developed based on these factors. The discrimination and accuracy of the model was evaluated by concordance and calibration curve. Results: A total of 435 patients were enrolled，and 171 (39.3%) patients had an unfavorable outcome. Age, previous hemorrhagic stroke, NIHSS score at admission, hematoma volume, and residual hematoma volume were identified as independent predictors of unfavorable outcome in patients after MIS. The discrimination and accuracy of the nomogram created using the above 5 factors were excellent, with a C-index of 0.807 (95%CI: 0.788-0.826). Conclusion: The nomogram based on age, previous hemorrhagic stroke, NIHSS score, hematoma volume, and residual hematoma volume may predict risk of unfavorable outcome in patients after MIS and may provide the basis for individualized disease management.