Poster De Conférence Année : 2022

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.
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hal-03994685 , version 1 (17-02-2023)

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  • HAL Id : hal-03994685 , version 1

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Nima Hatami, Laura Mechtouff, Tae Hee Cho, David Rousseau, Carole Frindel. Patient Rank-based Curriculum Learning for Predicting Functional Outcome in Stroke after Thrombectomy. The 8th European Stroke Organisation Conference (ESOC 2022), May 2022, Lyon, France. . ⟨hal-03994685⟩
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