A machine learning model was developed to predict outcomes at discharge in patients with aneurysmal subarachnoid hemorrhage, using data from 718 patients at five hospitals. The results showed that in addition to existing factors such as age and severity, the model including higher brain dysfunction showed high prediction accuracy.