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Mortality Prediction from Hospital-Acquired Infections in Trauma Patients Using an Unbalanced Dataset
OBJECTIVES: Machine learning has been widely used to predict diseases, and it is used to derive impressive knowledge in the healthcare domain. Our objective was to predict in-hospital mortality from hospital-acquired infections in trauma patients on an unbalanced dataset. METHODS: Our study was a cr...
| Autores principales: | , , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Korean Society of Medical Informatics
2020
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7674815/ https://www.ncbi.nlm.nih.gov/pubmed/33190462 http://dx.doi.org/10.4258/hir.2020.26.4.284 |