Predicting Hospital Readmission Using Tidymodels

I wanted to share one of my project presentations from the last class of my master’s program, Statistical Learning II. This project involved building a decision support tool using patient record data to predict the probability of hospital readmission. I used Shiny to build my decision support tool which featured an XGBoost model that I constructed using the tidymodels collection of R packages. In the presentation below, I briefly discuss the steps I took while building my decision support tool, including data pre-processing, feature engineering, and model building.