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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...
| Autores principales: | , , , , , , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Public Library of Science
2014
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| Materias: | |
| 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 |