Predicting the Risk of Suicide by Analyzing the Text of Clinical Notes

We developed linguistics-driven prediction models to estimate the risk of suicide. These models were generated from unstructured clinical notes taken from a national sample of U.S. Veterans Administration (VA) medical records. We created three matched cohorts: veterans who committed suicide, veteran...

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Detalles Bibliográficos
Autores principales: Poulin, Chris, Shiner, Brian, Thompson, Paul, Vepstas, Linas, Young-Xu, Yinong, Goertzel, Benjamin, Watts, Bradley, Flashman, Laura, McAllister, Thomas
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2014
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3904866/
https://www.ncbi.nlm.nih.gov/pubmed/24489669
http://dx.doi.org/10.1371/journal.pone.0085733

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3904866/
https://www.ncbi.nlm.nih.gov/pubmed/24489669
http://dx.doi.org/10.1371/journal.pone.0085733

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