The association of a common HFE gene variant with stroke disability utilizing predictive machine learning and electronic health records

Abstract Animal studies demonstrate that the H67D HFE mutation is neuroprotective against intracerebral hemorrhage (ICH), but whether the human analog, H63D HFE, confers a similar effect is unknown. We developed a machine learning algorithm to predict discharge Modified Rankin Score (mRS ≤ 2 functio...

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Detalhes bibliográficos

Principais autores:	Havell Markus, Timothy B. Helmuth, James R. Connor, Dajiang J. Liu, Scott D. Simon
Formato:	Artigo
Idioma:	Inglês
Publicado em:	Nature Portfolio 2026-04-01
coleção:	Scientific Reports
Assuntos:	Stroke Intracerebral hemorrhage Iron Logistic models Machine learning
Acesso em linha:	https://doi.org/10.1038/s41598-026-46129-1
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