Predicting functional outcome in acute ischemic stroke patients after endovascular treatment by machine learning

Abstract

Endovascular therapy (EVT) was the standard treatment for acute ischemic stroke with large vessel occlusion. Prognosis after EVT is always a major concern. Here, we aimed to explore a predictive model for patients after EVT.

Keywords

• nomogram
• mechanical thrombectomy
• machine learning algorithm
• predictive models