Prediction of Late-Onset Sepsis in Preterm Infants Using Monitoring Signals and Machine Learning

Prediction of Late-Onset Sepsis in Preterm Infants Using Monitoring Signals and Machine Learning

Objectives:. Prediction of late-onset sepsis (onset beyond day 3 of life) in preterm infants, based on multiple patient monitoring signals 24 hours before onset. Design:. Continuous high-resolution electrocardiogram and respiration (chest impedance) data from the monitoring signals were extracted an...

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Bibliographic Details
Main Authors: Laura Cabrera-Quiros, PhD, Deedee Kommers, MD, PhD, Maria K. Wolvers, MSc, Laurien Oosterwijk, MSc, Niek Arents, MD, Jacqueline van der Sluijs-Bens, MD, Eduardus J. E. Cottaar, PhD, Peter Andriessen, MD, PhD, Carola van Pul, PhD
Format: Article
Language:English
Published: Wolters Kluwer 2021-01-01
Series:Critical Care Explorations
Online Access:http://journals.lww.com/10.1097/CCE.0000000000000302

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http://journals.lww.com/10.1097/CCE.0000000000000302

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