A clinical risk index for Clostridium difficile infection in hospitalised patients receiving broad-spectrum antibiotics.

By K. Garey, Thanh Dao-Tran, Zhi-Dong Jiang, M. Price, L. Gentry, H. Dupont. 2008

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Learning Credible Models (2017, background): “datasets . explore different shapes of r , and examine the effect of the accuracy”
Development and Validation of a Clostridium difficile Infection Risk Prediction Model (2011, methodology): “To our knowledge, only 2 studies have used this method to identify patients at high risk for CDI, and neither is broadly generalizable.(27,28) The study population used by Garey et al(27) was restricted to patients receiving antibiotics, and the models were developed with data collected from multipl”
Learning Data-Driven Patient Risk Stratification Models for Clostridium difficile (2014, background): “For example Garey et al [7], considered only hospitalized patients receiving broad-spectrum antibiotics, whereas we consider all hospitalized patients.”
The Changing Epidemiology of Clostridium difficile Infections (2010, background): “Increased length of hospital stay and number of hospital admissions continue to be identified as risk factors for CDI (7, 50, 70, 114, 134, 146).”