Predicting ICU Demand for Healthcare Operational Readiness: Analyzing Historic COVID ICU Data

Predicting ICU Demand for Healthcare Operational Readiness explores how historical hospital operational data can be used to forecast intensive care unit (ICU) resource demand. Using publicly available hospital capacity data and machine learning techniques, this project aims to develop a decision-support tool that could help healthcare planners anticipate resource needs and improve operational readiness.

Interns: Nana Prempeh, Rebecca Du

Mentors: Prakhar Mathur (NSAD/JAM), Aylah Dhruv (NSAD/JAM)