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Prediction of respiratory failure risk in patients with pneumonia in the ICU using ensemble learning models
The aim of this study was to develop early prediction models for respiratory failure risk in patients with severe pneumonia using four ensemble learning algorithms: LightGBM, XGBoost, CatBoost, and random forest, and to compare the predictive performance of each model. In this study, we used the eIC...
| Autores principales: | , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
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Public Library of Science
2023
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| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10513189/ https://www.ncbi.nlm.nih.gov/pubmed/37733699 http://dx.doi.org/10.1371/journal.pone.0291711 |