Development and validation of a diagnostic model for early differentiation of sepsis and non-infectious SIRS in critically ill children - a data-driven approach using machine-learning algorithms

Development and validation of a diagnostic model for early differentiation of sepsis and non-infectious SIRS in critically ill children - a data-driven approach using machine-learning algorithms

Abstract Background Since early antimicrobial therapy is mandatory in septic patients, immediate diagnosis and distinction from non-infectious SIRS is essential but hampered by the similarity of symptoms between both entities. We aimed to develop a diagnostic model for differentiation of sepsis and...

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Bibliographic Details
Main Authors: Florian Lamping, Thomas Jack, Nicole Rübsamen, Michael Sasse, Philipp Beerbaum, Rafael T. Mikolajczyk, Martin Boehne, André Karch
Format: Article
Language:English
Published: BMC 2018-03-01
Series:BMC Pediatrics
Subjects:
Diagnosis
Sepsis
SIRS
Pediatric
Random Forest
Intensive care unit
Online Access:http://link.springer.com/article/10.1186/s12887-018-1082-2

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