Clostridium difficile--associated disease in a setting of endemicity: identification of novel risk factors.
By E. Dubberke, K. Reske, Yan Yan, M. Olsen, L. C. Mcdonald, Victoria J. Fraser. 2007
269 citations recorded by the source corpus.
Subfields: Critical Care and Intensive Care Medicine, Infectious Diseases
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In Critical Care and Intensive Care Medicine
Citations in the corpus
- Learning Credible Models (2017, background): “datasets . explore different shapes of r , and examine the effect of the accuracy”
- Learning Data-Driven Patient Risk Stratification Models for Clostridium difficile (2014, background): “More recently, Dubberke et al [23] developed and validated a risk-prediction model based on variables collected at the time of admission and also during the hospitalization to identify patients at high risk of CDI.”
- Development and Validation of a Clostridium difficile Infection Risk Prediction Model (2011, methodology): “Primary risk factors for CDI include receipt of antimicrobials, older age, high severity of illness, exposure to other patients with CDI, and receipt of gastric acid suppressants.(10-17) Despite the breadth and depth of knowledge about risk factors available in the medical literature, healthcare fac”