Urine output as one of the most important features in differentiating in-hospital death among patients receiving extracorporeal membrane oxygenation: a random forest approach

BACKGROUND: It is common to support cardiovascular function in critically ill patients with extracorporeal membrane oxygenation (ECMO). The purpose of this study was to identify patients receiving ECMO with a considerable risk of dying in hospital using machine learning algorithms. METHODS: A total...

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Detalles Bibliográficos
Autores principales: Chang, Sheng-Nan, Hu, Nian-Ze, Wu, Jo-Hsuan, Cheng, Hsun-Mao, Caffrey, James L., Yu, Hsi-Yu, Chen, Yih-Sharng, Hsu, Jiun, Lin, Jou-Wei
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2023
Materias:
Research
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10503185/
https://www.ncbi.nlm.nih.gov/pubmed/37715216
http://dx.doi.org/10.1186/s40001-023-01294-1

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10503185/
https://www.ncbi.nlm.nih.gov/pubmed/37715216
http://dx.doi.org/10.1186/s40001-023-01294-1

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