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Improving Prediction of Surgical Site Infection Risk with Multilevel Modeling
BACKGROUND: Surgical site infection (SSI) surveillance is a key factor in the elaboration of strategies to reduce SSI occurrence and in providing surgeons with appropriate data feedback (risk indicators, clinical prediction rule). AIM: To improve the predictive performance of an individual-based SSI...
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Main Authors: | , , , , , , , , |
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Formato: | Artigo |
Idioma: | Inglês |
Publicado em: |
Public Library of Science
2014
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Assuntos: | |
Acesso em linha: | https://ncbi.nlm.nih.gov/pmc/articles/PMC4023946/ https://ncbi.nlm.nih.gov/pubmed/24835189 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1371/journal.pone.0095295 |
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