volume 11, issue 5, Pe0155705 2016
DOI: 10.1371/journal.pone.0155705
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Abstract: ObjectiveTo compare performance of risk prediction models for forecasting postoperative sepsis and acute kidney injury.DesignRetrospective single center cohort study of adult surgical patients admitted between 2000 and 2010.Patients50,318 adult patients undergoing major surgery.MeasurementsWe evaluated the performance of logistic regression, generalized additive models, naïve Bayes and support vector machines for forecasting postoperative sepsis and acute kidney injury. We assessed the impact of feature reduct…

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