A predictive model of patient readmission using combined ICD-9 codes as engineered features
Preconditions and multilevel models in studying post-surgical adverse outcomes
Prediction of post-surgical adverse outcomes using procedural data
Measures of entropy and changepoint analysis as predictors of post-surgical adverse outcomes
Time series forecasts and volatility measures as predictors of post-surgical death and kidney injury
I am interested in applications of statistics to medical data, machine learning fairness, survey methodology, classification problems, and sports statistics.
Peruse my public code on Github.
Here is a small animation of a basketball possession for your enjoyment.