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Developing an explainable machine learning model to predict the mechanical ventilation duration of patients with ARDS in intensive care units
BACKGROUND: Acute respiratory distress syndrome (ARDS) is common in intensive care units with high mortality rate and mechanical ventilation (MV) is the most important related treatment. Early prediction of MV duration has benefit for patients risk stratification and care strategies support. OBJECTI...
| Autores principales: | , , , , , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Elsevier Inc.
2023
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9678346/ https://www.ncbi.nlm.nih.gov/pubmed/36423504 http://dx.doi.org/10.1016/j.hrtlng.2022.11.005 |