Artificial intelligence to predict individualized outcome of acute ischemic stroke patients: The SIBILLA project.

Pietro CaliandroJacopo LenkowiczGiuseppe RealeSimone ScaringiAurelia ZauliChristian UcchedduSimone Fabiole-NicolettoStefano PatarnelloAndrea DamianiLuca TagliaferriIacopo ValenteMarco MociMauro MonforteVincenzo ValentiniPaolo Calabresi

Published in: European stroke journal (2024)

XGBoost reliably predicts individualized outcome in terms of NIHSS at discharge in the first 24 hours after stroke.

Keyphrases

artificial intelligence
acute ischemic stroke
machine learning
big data
ejection fraction
newly diagnosed
prognostic factors