Prediction of early neurologic deterioration in patients with perforating artery territory infarction using machine learning: a retrospective study

BackgroundEarly neurological deterioration (END) is a frequent complication in patients with perforating artery territory infarction (PAI), leading to poorer outcomes. Therefore, we aimed to apply machine learning (ML) algorithms to predict the occurrence of END in PAI and investigate related risk f...

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Autori principali:	Wei Liu, Longbin Jia, Lina Xu, Fengbing Yang, Zixuan Guo, Jinna Li, Dandan Zhang, Yan Liu, Han Xiang, Hongjiang Cheng, Jing Hou, Shifang Li, Huimin Li
Natura:	Artigo
Lingua:	Inglês
Pubblicazione:	Frontiers Media S.A. 2024-05-01
Serie:	Frontiers in Neurology
Soggetti:	early neurologic deterioration perforating artery territory infarction machine learning prediction apolipoprotein B
Accesso online:	https://www.frontiersin.org/articles/10.3389/fneur.2024.1368902/full
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