PREDICTION OF FUTILE RECANALISATION AFTER ENDOVASCULAR TREATMENT IN ACUTE ISCHAEMIC STROKE: DEVELOPMENT AND VALIDATION OF A HYBRID MACHINE LEARNING MODEL

Background Identification of futile recanalisation following endovascular therapy (EVT) in patients with acute ischaemic stroke is both crucial and challenging.Here, we present a novel risk stratification system based on hybrid machine learning method for predicting futile recanalisation.Methods Hybrid machine learning models were developed to addr