Project Overview
This comprehensive analysis examines asthma risk factors and patient outcomes using a synthetic dataset of 10,000 patient records. The project employs advanced statistical methods including logistic regression, LASSO regularization, ordinal regression, and nonparametric tests to identify key demographic, environmental, and clinical factors influencing asthma severity, emergency room utilization, and disease management. The analysis addresses three critical research questions about severity predictors, readmission likelihood, and the joint effects of medication adherence and air quality on patient outcomes.
