Systematic Review of Religiosity's Relationship with Suicidality, Suicide Related Stigma, and Formal Mental Health Service Utilization among Black Americans
Proceedings of the Workshop on Current Trends in Biomedical Natural Language Processing - BioNLP '08, 2008
We hypothesize that machine-learning algorithms (MLA) can classify completer and simulated suicid... more We hypothesize that machine-learning algorithms (MLA) can classify completer and simulated suicide notes as well as mental health professionals (MHP). Five MHPs classified 66 simulated or completer notes; MLAs were used for the same task. Results: MHPs were accurate 71% of the time; using the sequential minimization optimization algorithm (SMO) MLAs were accurate 78% of the time. There was no significant difference between the MLA and MPH classifiers. This is an important first step in developing an evidence based suicide predictor for emergency department use.
44.4 What Is the Impact of Suicide Thought Severity and Other Demographic Factors on Deciding Treatment Disposition in Adolescent Psychiatry Emergency Room Visits?
Journal of the American Academy of Child & Adolescent Psychiatry
We hypothesize that machine-learning algorithms (MLA) can classify completer and simulated suicid... more We hypothesize that machine-learning algorithms (MLA) can classify completer and simulated suicide notes as well as mental health professionals (MHP). Five MHPs classified 66 simulated or completer notes; MLAs were used for the same task. Results: MHPs were accurate 71% of the time; using the sequential minimization optimization algorithm (SMO) MLAs were accurate 78% of the time. There was no significant difference between the MLA and MPH classifiers. This is an important first step in developing an evidence based suicide predictor for emergency department use.
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Papers by Jennifer Combs