A comparison of models for predicting early hospital readmissions
Journal of Biomedical Informatics(2015)
摘要
•We compare a variety of models for predicting early hospital readmissions.•Performance of existing models is insufficient for practical applications.•Random forests and deep neural networks perform best in terms of AUC.•Models fit to homogeneous patient subgroups typically outperform global models.
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关键词
Electronic Health Records,Early readmission,Penalized methods,Random forest,Deep learning,Predictive models
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