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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...
| Autores principales: | , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
BioMed Central
2017
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| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5468980/ https://www.ncbi.nlm.nih.gov/pubmed/28606174 http://dx.doi.org/10.1186/s12911-017-0483-8 |