Prediction algorithm for ICU mortality and length of stay using machine learning

Machine learning can predict outcomes and determine variables contributing to precise prediction, and can thus classify patients with different risk factors of outcomes. This study aimed to investigate the predictive accuracy for mortality and length of stay in intensive care unit (ICU) patients usi...

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Detalles Bibliográficos
Autores principales: Iwase, Shinya, Nakada, Taka-aki, Shimada, Tadanaga, Oami, Takehiko, Shimazui, Takashi, Takahashi, Nozomi, Yamabe, Jun, Yamao, Yasuo, Kawakami, Eiryo
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2022
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9334583/
https://www.ncbi.nlm.nih.gov/pubmed/35902633
http://dx.doi.org/10.1038/s41598-022-17091-5

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9334583/
https://www.ncbi.nlm.nih.gov/pubmed/35902633
http://dx.doi.org/10.1038/s41598-022-17091-5

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