Generation and evaluation of artificial mental health records for Natural Language Processing.
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ABSTRACT:
SUBMITTER: Ive J
PROVIDER: S-EPMC7224173 | biostudies-literature | 2020
REPOSITORIES: biostudies-literature
Publications
Generation and evaluation of artificial mental health records for Natural Language Processing.
Ive Julia J Viani Natalia N Kam Joyce J Yin Lucia L Verma Somain S Puntis Stephen S Cardinal Rudolf N RN Roberts Angus A Stewart Robert R Velupillai Sumithra S
NPJ digital medicine 20200514
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 completely. This problem could be tackled by using artificial medical data. In this work, we present an approach to generate artificial clinical documents. We apply this approach to discharge summaries f ...[more]
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