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Benchmarking Deep Learning Architectures for Predicting Readmission to the ICU and Describing Patients-at-Risk
To compare different deep learning architectures for predicting the risk of readmission within 30 days of discharge from the intensive care unit (ICU). The interpretability of attention-based models is leveraged to describe patients-at-risk. Several deep learning architectures making use of attentio...
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| Publicado no: | Sci Rep |
|---|---|
| Main Authors: | , , , , , , |
| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
Nature Publishing Group UK
2020
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| Assuntos: | |
| Acesso em linha: | https://ncbi.nlm.nih.gov/pmc/articles/PMC6981230/ https://ncbi.nlm.nih.gov/pubmed/31980704 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1038/s41598-020-58053-z |
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