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Using multiclass classification to automate the identification of patient safety incident reports by type and severity
BACKGROUND: Approximately 10% of admissions to acute-care hospitals are associated with an adverse event. Analysis of incident reports helps to understand how and why incidents occur and can inform policy and practice for safer care. Unfortunately our capacity to monitor and respond to incident repo...
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| Publicado no: | BMC Med Inform Decis Mak |
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| Main Authors: | , , , |
| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
BioMed Central
2017
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| Assuntos: | |
| Acesso em linha: | https://ncbi.nlm.nih.gov/pmc/articles/PMC5468980/ https://ncbi.nlm.nih.gov/pubmed/28606174 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1186/s12911-017-0483-8 |
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