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Predicting patient risk of readmission with frailty models in the Department of Veteran Affairs
Reducing potentially preventable readmissions has been identified as an important issue for decreasing Medicare costs and improving quality of care provided by hospitals.
Applications 62N01, 62N02, 62P10
A predictive analytics approach to reducing avoidable hospital readmission
We further propose a tree based classification method to estimate the predicted probability of readmission that can directly incorporate patient's history of readmission and risk factors changes over time.
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