13 citations · 17 across the 3 of their papers we have counts for
3 papers
Interpretable Prediction and Feature Selection for Survival Analysis
Mike Van Ness, Madeleine Udell
Survival analysis is widely used as a technique to model time-to-event data when some data is censored, particularly in healthcare for predicting future patient risk. In such setti…
Interpretable Survival Analysis for Heart Failure Risk Prediction
Mike Van Ness, Tomas Bosschieter, Natasha Din +3
Survival analysis, or time-to-event analysis, is an important and widespread problem in healthcare research. Medical research has traditionally relied on Cox models for survival an…
The Missing Indicator Method: From Low to High Dimensions
Mike Van Ness, Tomas M. Bosschieter, Roberto Halpin-Gregorio +1
Missing data is common in applied data science, particularly for tabular data sets found in healthcare, social sciences, and natural sciences. Most supervised learning methods only…