Predicting the Length of Stay in Hospital Emergency Rooms in Rhode Island
imbalanced data; resampling; length of stay; rare event; classification; under sampling; bagging; boosting; tree-based models; Rhode Island Department of Health;
Emerald Publishing Limited
Advances in Business and Management Forecasting
In this study, the authors focus on the prediction of LOS at the time of admission in emergency departments at Rhode Island hospitals through discharge data obtained from the Rhode Island Department of Health over the time period of 2012 and 2013. This work also explores the distribution of discharge dispositions in an effort to better characterize the resources patients require upon leaving the emergency department.