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...

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Detalles Bibliográficos
Autores principales: Fragasso, Tiziana, Raggi, Valeria, Passaro, Davide, Tardella, Luca, Lasinio, Giovanna Jona, Ricci, Zaccaria
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2023
Materias:
Original Article
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

Internet

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

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