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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...
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 |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Lippincott Williams & Wilkins
2021
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Materias: | |
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 |
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