Title

Predicting the Length of Stay in Hospital Emergency Rooms in Rhode Island

Authors

Alicia T. Lamere, Bryant UniversityFollow
Son Nguyen, Bryant UniversityFollow
Gao Niu, Bryant UniversityFollow
Alan Olinsky, Bryant UniversityFollow
Jonh QuinnFollow

Document Type

Article

Keywords

imbalanced data; resampling; length of stay; rare event; classification; under sampling; bagging; boosting; tree-based models; Rhode Island Department of Health;

Identifier Data

https://doi.org/10.1108/S1477-407020210000014004

Publisher

Emerald Publishing Limited

Publication Source

Advances in Business and Management Forecasting

Abstract

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.