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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Publicat a:NPJ Digit Med
Autors principals: Ive, Julia, Viani, Natalia, Kam, Joyce, Yin, Lucia, Verma, Somain, Puntis, Stephen, Cardinal, Rudolf N., Roberts, Angus, Stewart, Robert, Velupillai, Sumithra
Format: Artigo
Idioma:Inglês
Publicat: Nature Publishing Group UK 2020
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Article
Accés en línia: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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