Automatic mining of symptom severity from psychiatric evaluation notes.
AffiliationCentre for Health Informatics, Australian Institute of Health Innovation, Macquarie University, Sydney, Australia
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AbstractAs electronic mental health records become more widely available, several approaches have been suggested to automatically extract information from free-text narrative aiming to support epidemiological research and clinical decision-making. In this paper, we explore extraction of explicit mentions of symptom severity from initial psychiatric evaluation records. We use the data provided by the 2016 CEGS N-GRID NLP shared task Track 2, which contains 541 records manually annotated for symptom severity according to the Research Domain Criteria.
CitationAutomatic mining of symptom severity from psychiatric evaluation notes. 2017 Int J Methods Psychiatr Res
JournalInternational Journal of Methods in Psychiatric Research