Explainable machine learning model for predicting functional outcomes in posterior circulation stroke after thrombectomy.
Journal:
Journal of neurointerventional surgery
Published Date:
Jul 23, 2025
Abstract
BACKGROUND: The early prediction of functional outcomes in patients with posterior circulation stroke (PCS) is crucial for timely interventions and optimizing treatment plans. We have developed and validated a machine learning (ML) model for predicting 3-month functional outcomes in patients with PCS undergoing endovascular thrombectomy (EVT).
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