Predicting mortality among septic patients presenting to the emergency department–a cross sectional analysis using machine learning

Predicting mortality among septic patients presenting to the emergency department–a cross sectional analysis using machine learning

Abstract Background Sepsis is a life-threatening condition, causing almost one fifth of all deaths worldwide. The aim of the current study was to identify variables predictive of 7- and 30-day mortality among variables reflective of the presentation of septic patients arriving to the emergency depar...

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Bibliographic Details
Main Authors: Adam Karlsson, Willem Stassen, Amy Loutfi, Ulrika Wallgren, Eric Larsson, Lisa Kurland
Format: Article
Language:English
Published: BMC 2021-07-01
Series:BMC Emergency Medicine
Subjects:
Assessment
Clinical assessment
Emergency care systems
Emergency department
Infectious diseases
Online Access:https://doi.org/10.1186/s12873-021-00475-7

Internet

https://doi.org/10.1186/s12873-021-00475-7

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