Abstract 1122‐000047: Machine Learning to Predict Stroke Outcomes after Mechanical Thrombectomy

Abstract 1122‐000047: Machine Learning to Predict Stroke Outcomes after Mechanical Thrombectomy

Introduction: Prognostication is an integral part of clinical decision‐making in stroke care. Machine learning (ML) methods have gained increasing popularity in the medical field due to their flexibility and high performance. Using a large comprehensive stroke center registry, we sought to apply var...

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Bibliographic Details
Main Authors: Mehdi Bouslama, Leonardo Pisani, Diogo Haussen, Raul Nogueira
Format: Article
Language:English
Published: Wiley 2021-11-01
Series:Stroke: Vascular and Interventional Neurology
Subjects:
Acute Stroke
Mechanical Thrombectomy
Online Access:https://www.ahajournals.org/doi/10.1161/SVIN.01.suppl_1.000047

Internet

https://www.ahajournals.org/doi/10.1161/SVIN.01.suppl_1.000047

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