Computer Science
Generation and evaluation of artificial mental health records for Natural Language Processing
J. Ive, N. Viani, et al.
Limited access to mental health records has stifled NLP innovations in clinical settings. Researchers, including Julia Ive and Natalia Viani from Imperial College London, unveil a promising method for generating artificial clinical documents, showing that such data can match original records for training NLP models while safeguarding sensitive information.
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