Continuous and automatic mortality risk prediction using vital signs in the intensive care unit: a hybrid neural network approach

Mortality risk prediction can greatly improve the utilization of resources in intensive care units (ICUs). Existing schemes in ICUs today require laborious manual input of many complex parameters. In this work, we present a scheme that uses variations in vital signs over a 24-h period to make mortal...

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Detalles Bibliográficos
Autores principales: Baker, Stephanie, Xiang, Wei, Atkinson, Ian
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/PMC7718228/
https://www.ncbi.nlm.nih.gov/pubmed/33277530
http://dx.doi.org/10.1038/s41598-020-78184-7

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7718228/
https://www.ncbi.nlm.nih.gov/pubmed/33277530
http://dx.doi.org/10.1038/s41598-020-78184-7

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