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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...

Täydet tiedot

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Bibliografiset tiedot
Julkaisussa:J Am Med Inform Assoc
Päätekijät: Wang, Ying, Coiera, Enrico, Magrabi, Farah
Aineistotyyppi: Artigo
Kieli:Inglês
Julkaistu: Oxford University Press 2019
Aiheet:
Linkit: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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