Predicting the rupture status of small middle cerebral artery aneurysms using random forest modeling

ObjectiveSmall intracranial aneurysms are increasingly being detected; however, a prediction model for their rupture is rare. Random forest modeling was used to predict the rupture status of small middle cerebral artery (MCA) aneurysms with morphological features.MethodsFrom January 2009 to June 2020, we retrospectively reviewed patients with small MCA aneurysms (