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SURVEILLANCE OF SUICIDE IN LATER LIFE: APPLYING MACHINE LEARNING TOOLS TO ENHANCE DATA QUALITY
Suicide risk is highest among older adults. Since 70% of aging adults will require some form of long-term care (LTC), residential LTC potentially constitutes an important setting for preventing suicide. We applied data science methodologies to analyze textual narratives from suicide decedents in the...
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| Publicat a: | Innov Aging |
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| Autors principals: | , , , |
| Format: | Artigo |
| Idioma: | Inglês |
| Publicat: |
Oxford University Press
2018
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| Matèries: | |
| Accés en línia: | https://ncbi.nlm.nih.gov/pmc/articles/PMC6228175/ https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1093/geroni/igy023.2797 |
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