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Developing an ensemble machine learning model for early prediction of sepsis-associated acute kidney injury
Sepsis-associated acute kidney injury (S-AKI) is very common and early prediction is beneficial. This study aiming to develop an accurate ensemble model to predict the risk of S-AKI based on easily available clinical information. Patients with sepsis from the United States (US) database Medical Info...
| Autores principales: | , , , , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Elsevier
2022
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9429796/ https://www.ncbi.nlm.nih.gov/pubmed/36060071 http://dx.doi.org/10.1016/j.isci.2022.104932 |