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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...
| Autores principales: | , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Nature Publishing Group UK
2020
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| Materias: | |
| 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 |