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Generation and evaluation of artificial mental health records for Natural Language Processing
A serious obstacle to the development of Natural Language Processing (NLP) methods in the clinical domain is the accessibility of textual data. The mental health domain is particularly challenging, partly because clinical documentation relies heavily on free text that is difficult to de-identify com...
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| Publié dans: | NPJ Digit Med |
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| Auteurs principaux: | , , , , , , , , , |
| Format: | Artigo |
| Langue: | Inglês |
| Publié: |
Nature Publishing Group UK
2020
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| Sujets: | |
| Accès en ligne: | https://ncbi.nlm.nih.gov/pmc/articles/PMC7224173/ https://ncbi.nlm.nih.gov/pubmed/32435697 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1038/s41746-020-0267-x |
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