Machine learning can accurately predict pre-admission baseline hemoglobin and creatinine in intensive care patients

Patients admitted to the intensive care unit frequently have anemia and impaired renal function, but often lack historical blood results to contextualize the acuteness of these findings. Using data available within two hours of ICU admission, we developed machine learning models that accurately (AUC...

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Detalles Bibliográficos
Autores principales: Dauvin, Antonin, Donado, Carolina, Bachtiger, Patrik, Huang, Ke-Chun, Sauer, Christopher Martin, Ramazzotti, Daniele, Bonvini, Matteo, Celi, Leo Anthony, Douglas, Molly J.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2019
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6884624/
https://www.ncbi.nlm.nih.gov/pubmed/31815192
http://dx.doi.org/10.1038/s41746-019-0192-z

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6884624/
https://www.ncbi.nlm.nih.gov/pubmed/31815192
http://dx.doi.org/10.1038/s41746-019-0192-z

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