QR-Code

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...

Ausführliche Beschreibung

Gespeichert in:
Hauptverfasser: Lucas Duval, Antoine Villié, Fei Zheng, Gabriel Terraz, Sophie Blein, Esther Duperchy, Martin Everett, Johan Frieling, Jean-François Llitjos, Maxime Bodinier
Format: Artigo
Sprache:Inglês
Veröffentlicht: BMC 2025-12-01
Schriftenreihe:BMC Medical Informatics and Decision Making
Schlagworte:
Sepsis
Machine-learning
Vasopressor initiation
Electronic Health Records (EHR)
Intensive care unit (ICU)
Online-Zugang:https://doi.org/10.1186/s12911-025-03274-3
Tags: Tag hinzufügen
Keine Tags, Fügen Sie das erste Tag hinzu!

Ähnliche Einträge