Dynamic survival prediction in intensive care units from heterogeneous time series without the need for variable selection or curation

Extensive monitoring in intensive care units (ICUs) generates large quantities of data which contain numerous trends that are difficult for clinicians to systematically evaluate. Current approaches to such heterogeneity in electronic health records (EHRs) discard pertinent information. We present a...

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Detalles Bibliográficos
Autores principales: Deasy, Jacob, Liò, Pietro, Ercole, Ari
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/PMC7747558/
https://www.ncbi.nlm.nih.gov/pubmed/33335183
http://dx.doi.org/10.1038/s41598-020-79142-z

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7747558/
https://www.ncbi.nlm.nih.gov/pubmed/33335183
http://dx.doi.org/10.1038/s41598-020-79142-z

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