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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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Detalhes bibliográficos
Publicado no:NPJ Digit Med
Main Authors: Ive, Julia, Viani, Natalia, Kam, Joyce, Yin, Lucia, Verma, Somain, Puntis, Stephen, Cardinal, Rudolf N., Roberts, Angus, Stewart, Robert, Velupillai, Sumithra
Formato: Artigo
Idioma:Inglês
Publicado em: Nature Publishing Group UK 2020
Assuntos:
Acesso em linha: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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