Payer Mix Linear Regression

To view the entire project, open the full notebook here.

Objective: Develop a linear regression model to predict the payer mix of health centers.

Data: 2018-2023 Uniform Data System dataset (from the HRSA website)

Model Type: Linear regression

Tools/Libraries: Pandas, Scikit-Learn, Matplotlib, Seaborn

Summary

For this predictive modeling project, I built a linear regression model for predicting payer mix at health centers, using the annual Uniform Data System dataset published by HRSA. I first prepared the data for the model and then ran a simple linear regression to evaluate the baseline performance. Last, I used lasso regression to fine tune the model and help select features that were most relevant to payer mix prediction.