Generation and evaluation of artificial mental health records for Natural Language Processing
Abstract 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-ide...
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Main Authors: | Julia Ive, Natalia Viani, Joyce Kam, Lucia Yin, Somain Verma, Stephen Puntis, Rudolf N. Cardinal, Angus Roberts, Robert Stewart, Sumithra Velupillai |
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Format: | article |
Language: | EN |
Published: |
Nature Portfolio
2020
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Subjects: | |
Online Access: | https://doaj.org/article/70bae84263554a11a15139b29889876f |
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