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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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Bibliografiske detaljer
Udgivet i: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
Format: Artigo
Sprog:Inglês
Udgivet: Nature Publishing Group UK 2020
Fag:
Online adgang: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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