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A customizable deep learning model for nosocomial risk prediction from critical care notes with indirect supervision
OBJECTIVE: Reliable longitudinal risk prediction for hospitalized patients is needed to provide quality care. Our goal is to develop a generalizable model capable of leveraging clinical notes to predict healthcare-associated diseases 24–96 hours in advance. METHODS: We developed a reCurrent Additive...
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| Publicado no: | J Am Med Inform Assoc |
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| Main Authors: | , |
| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
Oxford University Press
2020
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| Assuntos: | |
| Acesso em linha: | https://ncbi.nlm.nih.gov/pmc/articles/PMC7075529/ https://ncbi.nlm.nih.gov/pubmed/32065628 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1093/jamia/ocaa004 |
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