Early Recognition of Burn- and Trauma-Related Acute Kidney Injury: A Pilot Comparison of Machine Learning Techniques

Severely burned and non-burned trauma patients are at risk for acute kidney injury (AKI). The study objective was to assess the theoretical performance of artificial intelligence (AI)/machine learning (ML) algorithms to augment AKI recognition using the novel biomarker, neutrophil gelatinase associa...

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Detalles Bibliográficos
Autores principales: Rashidi, Hooman H., Sen, Soman, Palmieri, Tina L., Blackmon, Thomas, Wajda, Jeffery, Tran, Nam K.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2020
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6959341/
https://www.ncbi.nlm.nih.gov/pubmed/31937795
http://dx.doi.org/10.1038/s41598-019-57083-6

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6959341/
https://www.ncbi.nlm.nih.gov/pubmed/31937795
http://dx.doi.org/10.1038/s41598-019-57083-6

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