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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...
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| Vydáno v: | Crit Care Explor |
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| Hlavní autoři: | , , , , , , , , |
| Médium: | Artigo |
| Jazyk: | Inglês |
| Vydáno: |
Lippincott Williams & Wilkins
2021
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| Témata: | |
| On-line přístup: | https://ncbi.nlm.nih.gov/pmc/articles/PMC7846455/ https://ncbi.nlm.nih.gov/pubmed/33532727 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1097/CCE.0000000000000302 |
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