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 and...

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Detalles Bibliográficos
Autores principales: Cabrera-Quiros, Laura, Kommers, Deedee, Wolvers, Maria K., Oosterwijk, Laurien, Arents, Niek, van der Sluijs-Bens, Jacqueline, Cottaar, Eduardus J. E., Andriessen, Peter, van Pul, Carola
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Lippincott Williams & Wilkins 2021
Materias:
Original Clinical Report
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7846455/
https://www.ncbi.nlm.nih.gov/pubmed/33532727
http://dx.doi.org/10.1097/CCE.0000000000000302

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7846455/
https://www.ncbi.nlm.nih.gov/pubmed/33532727
http://dx.doi.org/10.1097/CCE.0000000000000302

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