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Machine Learning Algorithms to Predict Mortality of Neonates on Mechanical Intubation for Respiratory Failure
Background: Early identification of critically ill neonates with poor outcomes can optimize therapeutic strategies. We aimed to examine whether machine learning (ML) methods can improve mortality prediction for neonatal intensive care unit (NICU) patients on intubation for respiratory failure. Metho...
| Autores principales: | , , , , , , , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
MDPI
2021
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8533201/ https://www.ncbi.nlm.nih.gov/pubmed/34680497 http://dx.doi.org/10.3390/biomedicines9101377 |