One of the most significant problems that hospitals across the country are facing at the moment is the prediction of how long each patient will remain in said hospital. This project is attempting to build a better predictive model by taking into account both quantitative and qualitative data from hospitals. The main source of information is coming from classifying and mining doctors and nurses notes and using that information to create a model that better provides an estimate on each patients duration of stay.

Project partners:

Ronald Fong (Internal Medicine), Kent Anderson (Associate Director of Biomedical Informatics)