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Efficacy prediction of noninvasive ventilation failure based on the stacking ensemble algorithm and autoencoder
BACKGROUND: Early prediction of noninvasive ventilation failure is of great significance for critically ill ICU patients to escalate or change treatment. Because clinically collected data are highly time-series correlated and have imbalanced classes, it is difficult to accurately predict the efficac...
| Autores principales: | , , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
BioMed Central
2022
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8805397/ https://www.ncbi.nlm.nih.gov/pubmed/35101003 http://dx.doi.org/10.1186/s12911-022-01767-z |