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Predicting acute kidney injury in critically ill patients using comorbid conditions utilizing machine learning
BACKGROUND: Acute kidney injury (AKI) carries a poor prognosis. Its incidence is increasing in the intensive care unit (ICU). Our purpose in this study is to develop and externally validate a model for predicting AKI in the ICU using patient data present prior to ICU admission. METHODS: We used data...
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| Publicado no: | Clin Kidney J |
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| Main Authors: | , , , , , |
| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
Oxford University Press
2020
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| Assuntos: | |
| Acesso em linha: | https://ncbi.nlm.nih.gov/pmc/articles/PMC8087133/ https://ncbi.nlm.nih.gov/pubmed/33959271 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1093/ckj/sfaa145 |
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