Automatic mining of symptom severity from psychiatric evaluation notes.
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Karystianis_et_al-2017-Interna ...
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Centre for Health Informatics, Australian Institute of Health Innovation, Macquarie University, Sydney, AustraliaIssue Date
2017-12-22
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As 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.Citation
Automatic mining of symptom severity from psychiatric evaluation notes. 2017 Int J Methods Psychiatr ResJournal
International Journal of Methods in Psychiatric ResearchDOI
10.1002/mpr.1602PubMed ID
29271009Type
ArticleLanguage
enISSN
1557-0657ae974a485f413a2113503eed53cd6c53
10.1002/mpr.1602
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