Detecting hospital-acquired infections: A document classification approach using support vector machines and gradient tree boosting

Hospital-acquired infections pose a significant risk to patient health, while their surveillance is an additional workload for hospital staff. Our overall aim is to build a surveillance system that reliably detects all patient records that potentially include hospital-acquired infections. This is to...

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Detalles Bibliográficos
Autores principales: Ehrentraut, Claudia, Ekholm, Markus, Tanushi, Hideyuki, Tiedemann, Jörg, Dalianis, Hercules
Formato: Online Artículo Texto
Lenguaje:English
Publicado: SAGE Publications 2016
Materias:
Articles
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5802538/
https://www.ncbi.nlm.nih.gov/pubmed/27496862
http://dx.doi.org/10.1177/1460458216656471

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5802538/
https://www.ncbi.nlm.nih.gov/pubmed/27496862
http://dx.doi.org/10.1177/1460458216656471

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