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Machine learning for early detection of sepsis: an internal and temporal validation study
OBJECTIVE: Determine if deep learning detects sepsis earlier and more accurately than other models. To evaluate model performance using implementation-oriented metrics that simulate clinical practice. MATERIALS AND METHODS: We trained internally and temporally validated a deep learning model (multi-...
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| Publicado en: | JAMIA Open |
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| Autores principales: | , , , , , , , , , , , , |
| Formato: | Artigo |
| Lenguaje: | Inglês |
| Publicado: |
Oxford University Press
2020
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| Materias: | |
| Acceso en línea: | https://ncbi.nlm.nih.gov/pmc/articles/PMC7382639/ https://ncbi.nlm.nih.gov/pubmed/32734166 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1093/jamiaopen/ooaa006 |
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