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Automatic mining of symptom severity from psychiatric evaluation notes.
Karystianis, G Nevado, A Kim, C Dehghan, Azad Keane, J Nenadic, G
Karystianis, G
Nevado, A
Kim, C
Dehghan, Azad
Keane, J
Nenadic, G
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Abstract
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.
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2017-12-22
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Automatic mining of symptom severity from psychiatric evaluation notes. 2017 Int J Methods Psychiatr Res