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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...
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| Publicado no: | Health Informatics J |
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| Main Authors: | , , , , |
| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
SAGE Publications
2016
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| Assuntos: | |
| Acesso em linha: | https://ncbi.nlm.nih.gov/pmc/articles/PMC5802538/ https://ncbi.nlm.nih.gov/pubmed/27496862 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1177/1460458216656471 |
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