Dashboard for ICU Length of Stay Prediction Algorithm

Accurate predictions of patient length of stay (LOS) for visits to the intensive care unit (ICU) present an opportunity to improve hospital planning and ensure that clinical resources are efficiently managed. The goal of this project is to develop a dashboard that presents the predictions of an existing explainable deep learning algorithm developed by Tianjian Guo, Indranil Bardhan and Dr. Ying Ding in a way that is useful to clinicians and hospital administrators.