Prediction of survival probabilities with Bayesian Decision Trees
作者:
Highlights:
• We propose a Bayesian method to predict survival of patients with multiple injuries.
• The proposed method provides the estimates of uncertainty in the predictions.
• We compare the accuracy of the proposed and established prediction methods.
• The proposed method outperforms the established one.
• The performances are compared in terms of prediction accuracy.
摘要
•We propose a Bayesian method to predict survival of patients with multiple injuries.•The proposed method provides the estimates of uncertainty in the predictions.•We compare the accuracy of the proposed and established prediction methods.•The proposed method outperforms the established one.•The performances are compared in terms of prediction accuracy.
论文关键词:Bayesian prediction,Survival probability,Markov chain Monte Carlo,Classification tree,Trauma care
论文评审过程:Available online 23 April 2013.
论文官网地址:https://doi.org/10.1016/j.eswa.2013.04.009