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An investigation of single-domain and multidomain medication and adverse drug event relation extraction from electronic health record notes using advanced deep learning models
OBJECTIVE: We aim to evaluate the effectiveness of advanced deep learning models (eg, capsule network [CapNet], adversarial training [ADV]) for single-domain and multidomain relation extraction from electronic health record (EHR) notes. MATERIALS AND METHODS: We built multiple deep learning models w...
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| Pubblicato in: | J Am Med Inform Assoc |
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| Autori principali: | , |
| Natura: | Artigo |
| Lingua: | Inglês |
| Pubblicazione: |
Oxford University Press
2019
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| Soggetti: | |
| Accesso online: | https://ncbi.nlm.nih.gov/pmc/articles/PMC6562161/ https://ncbi.nlm.nih.gov/pubmed/30938761 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1093/jamia/ocz018 |
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