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An interpretable deep-learning model for early prediction of sepsis in the emergency department
Sepsis is a life-threatening condition with high mortality rates and expensive treatment costs. Early prediction of sepsis improves survival in septic patients. In this paper, we report our top-performing method in the 2019 DII National Data Science Challenge to predict onset of sepsis 4 h before it...
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| Publicat a: | Patterns (N Y) |
|---|---|
| Autors principals: | , , , , , |
| Format: | Artigo |
| Idioma: | Inglês |
| Publicat: |
Elsevier
2021
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| Matèries: | |
| Accés en línia: | https://ncbi.nlm.nih.gov/pmc/articles/PMC7892361/ https://ncbi.nlm.nih.gov/pubmed/33659912 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1016/j.patter.2020.100196 |
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