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Using convolutional neural networks to identify patient safety incident reports by type and severity
OBJECTIVE: To evaluate the feasibility of a convolutional neural network (CNN) with word embedding to identify the type and severity of patient safety incident reports. MATERIALS AND METHODS: A CNN with word embedding was applied to identify 10 incident types and 4 severity levels. Model training an...
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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
2019
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| Assuntos: | |
| Acesso em linha: | https://ncbi.nlm.nih.gov/pmc/articles/PMC7647259/ https://ncbi.nlm.nih.gov/pubmed/31730700 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1093/jamia/ocz146 |
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