Streamlined machine learning model for early sepsis risk prediction in burn patients

Abstract Sepsis is the leading cause of mortality in burn patients, yet early identification remains difficult due to persistent hyperinflammatory responses and altered baseline physiology. We developed a streamlined machine learning model for early sepsis risk prediction in burn patients using data...

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Autors principals:	Marius Drysch, Felix Reinkemeier, Flemming Puscz, Jannik Hinzmann, German Burn Registry, Marcus Lehnhardt, Christoph Wallner, Sonja Verena Schmidt
Format:	Artigo
Idioma:	Inglês
Publicat:	Nature Portfolio 2025-10-01
Col·lecció:	npj Digital Medicine
Accés en línia:	https://doi.org/10.1038/s41746-025-02078-z
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