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Machine learning models for predicting acute kidney injury: a systematic review and critical appraisal
BACKGROUND: The number of studies applying machine learning (ML) to predict acute kidney injury (AKI) has grown steadily over the past decade. We assess and critically appraise the state of the art in ML models for AKI prediction, considering performance, methodological soundness, and applicability....
| Autores principales: | , , , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Oxford University Press
2022
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9664575/ https://www.ncbi.nlm.nih.gov/pubmed/36381375 http://dx.doi.org/10.1093/ckj/sfac181 |