Early Detection of Late Onset Sepsis in Extremely Preterm Infants Using Machine Learning: Towards an Early Warning System

Early Detection of Late Onset Sepsis in Extremely Preterm Infants Using Machine Learning: Towards an Early Warning System

A significant proportion of babies that are admitted to the neonatal intensive care unit (NICU) suffer from late onset sepsis (LOS). In order to prevent mortality and morbidity, the early detection of LOS is of the utmost importance. Recent works have found that the use of machine learning technique...

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Bibliographic Details
Main Authors: Arno G. Garstman, Cristian Rodriguez Rivero, Wes Onland
Format: Article
Language:English
Published: MDPI AG 2023-08-01
Series:Applied Sciences
Subjects:
heart rate variability
respiratory frequency
perfusion index
late onset sepsis
premature infants
neonates
Online Access:https://www.mdpi.com/2076-3417/13/16/9049

Internet

https://www.mdpi.com/2076-3417/13/16/9049

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