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Prediction of Hospital Infections and Selection of Antibiotics Using an Automated Hospital Database
Hospital-acquired infections (HAIs) and the selection of empiric antibiotics continue to create problems for physicians. We developed computerized methods to identify patients at high risk of acquiring HAIs. Data from 3,151 patients with HAIs were compared with 3,152 control patients. Logistic regre...
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| Main Authors: | , , , , , |
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| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
1990
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| Assuntos: | |
| Acesso em linha: | https://ncbi.nlm.nih.gov/pmc/articles/PMC2245512/ |
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