Projects

Analyzing Model Tradeoffs in Predicting Length of Stay (LOS) in eICU Patients

Patients with prolonged stay often account for high resource consumption [1], and so, are a potential loss of revenue from a hospital management perspective. This is especially important in the case of Intensive Care Unit (ICU) and electronic ICU (eICU) patients due to their intensive need for care resources like nurses, drugs, surgeons, X-ray machines, etc.