Early prediction of vasopressor initiation in ICU sepsis patients using an interpretable EHR-based ML model

Abstract Background Early identification of septic patients who will require vasopressor support could provide a critical window for hemodynamic optimisation, yet current bedside cues often appear only when shock is imminent. Objective We aimed to develop and validate an interpretable electronic hea...

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Hlavní autoři:	Lucas Duval, Antoine Villié, Fei Zheng, Gabriel Terraz, Sophie Blein, Esther Duperchy, Martin Everett, Johan Frieling, Jean-François Llitjos, Maxime Bodinier
Médium:	Artigo
Jazyk:	Inglês
Vydáno:	BMC 2025-12-01
Edice:	BMC Medical Informatics and Decision Making
Témata:	Sepsis Machine-learning Vasopressor initiation Electronic Health Records (EHR) Intensive care unit (ICU)
On-line přístup:	https://doi.org/10.1186/s12911-025-03274-3
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