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