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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Detalles Bibliográficos
Autores principales: Wang, Ying, Coiera, Enrico, Runciman, William, Magrabi, Farah
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2017
Materias:
Research Article
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

Internet

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

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