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Determining an Optimal Oxygen Saturation Target Range Based on Neonatal Maturity: Demonstration of a Decision Tree Analytic
The utility of decision tree machine learning in exploring the interactions among the SpO(2) target range, neonatal maturity, and oxemic-risk is demonstrated. METHODS: This observational study used 3 years of paired age-SpO(2)-PaO(2) data from a neonatal ICU. The CHAID decision tree method was used...
| Autores principales: | , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
MDPI
2023
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10648394/ https://www.ncbi.nlm.nih.gov/pubmed/37958208 http://dx.doi.org/10.3390/diagnostics13213312 |