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Predicting acute kidney injury with an artificial intelligence-driven model in a pediatric cardiac intensive care unit
BACKGROUND: Acute kidney injury (AKI) is among the most common complications following cardiac surgery in adult and pediatric patients, significantly affecting morbidity and mortality. Artificial Intelligence (AI) with Machine Learning (ML) can be used to predict outcomes. AKI diagnosis anticipation...
| Autores principales: | , , , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
BioMed Central
2023
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10583404/ https://www.ncbi.nlm.nih.gov/pubmed/37853430 http://dx.doi.org/10.1186/s44158-023-00125-3 |