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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...
| Autores principales: | , , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
SAGE Publications
2016
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| Materias: | |
| 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 |