… In the present study we compared the predictive performance of several statistical models,
both in a ‘learning’ set of patients and in an independent ‘test’ set, both drawn from a large …

… of subjects with low and high mortality risk. The Framingham PROCAM and a Dutch Risk
Function poorly predicted mortality risk, similar or worse than a model using age alone. …

… pre-operative prediction models for 30-day mortality. We assessed predictive performance
in terms … Risk of bias was evaluated using a tool to assess the risk of bias and applicability of …

… The ability of risk-stratified care, guided by objective risk prediction tools, to … risk prediction
tools with high predictive performance are required. When a surgical mortality risk prediction …

… Second, the model’s predictive performance (ie … if a risk prediction model has a low risk of
bias and low concern about applicability, and is accompanied by good predictive performance, …

… predictors of mortality in elderly populations (40–42). Prediction functions for mortality have
… The contributions of this paper include: 1) generating a prediction function for mortality risk …

… mortality risk on its predictive performance. … do not predict risk well in older people and
people with multimorbidity and second, they do not account for competing mortality risk (the risk of …

… to assess failure modes of predictive models across regions … , we find that mortality risk
prediction models developed in one … that predictive models can exhibit disparities in performance …

… As noticed in this review, the performance of predictive models has been traditionally
evaluated by the c-statistic, which has been criticized as being insensitive in comparing models …

… to a superior predictive performance, we recommend the incorporation of the RheSCORE
model into daily practice when attempting to predict mortality risk among patients undergoing …