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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| Auteurs principaux: | , , , , , , , , |
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| Format: | article |
| Langue: | EN |
| Publié: |
Public Library of Science (PLoS)
2014
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| Sujets: | |
| Accès en ligne: | https://doaj.org/article/f06d40e8e81b47cb9a769b49ccc518ec |
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