Patient Rank-based Curriculum Learning for Predicting Functional Outcome in Stroke after Thrombectomy
Résumé
Background and aims: Functional outcome is heterogeneous after acute ischemic stroke (AIS). In the present study, we aimed
to predict functional outcome from MRI imaging data (without clinical variables) using a machine learning algorithm in AIS patients.
Domaines
Sciences du Vivant [q-bio]Origine | Fichiers produits par l'(les) auteur(s) |
---|