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Designing an openEHR-Based Pipeline for Extracting and Standardizing Unstructured Clinical Data Using Natural Language Processing
Background Merging disparate and heterogeneous datasets from clinical routine in a standardized and semantically enriched format to enable a multiple use of data also means incorporating unstructured data such as medical free texts. Although the extraction of structured data from texts, known as na...
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| Pubblicato in: | Methods Inf Med |
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| Autori principali: | , , , , , |
| Natura: | Artigo |
| Lingua: | Inglês |
| Pubblicazione: |
Georg Thieme Verlag KG
2020
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| Accesso online: | https://ncbi.nlm.nih.gov/pmc/articles/PMC7725544/ https://ncbi.nlm.nih.gov/pubmed/33058101 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1055/s-0040-1716403 |
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