Identifying Suicidal Adolescents from Mental Health Records Using Natural Language Processing

Sophie Epstein
Sophie Epstein
André Bittar
André Bittar
Thomas Stephenson
Thomas Stephenson

Studies in health technology and informatics, pp. 413-417, 2019.

Cited by: 0|Bibtex|Views3|DOI:https://doi.org/10.3233/SHTI190254
WOS EI
Other Links: pubmed.ncbi.nlm.nih.gov|dblp.uni-trier.de

Abstract:

Suicidal ideation is a risk factor for self-harm, completed suicide and can be indicative of mental health issues. Adolescents are a particularly vulnerable group, but few studies have examined suicidal behaviour prevalence in large cohorts. Electronic Health Records (EHRs) are a rich source of secondary health care data that could be use...More

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