4 citations · 4 across the 4 of their papers we have counts for
4 papers
dnamite: A Python Package for Neural Additive Models
Mike Van Ness, Madeleine Udell
Additive models offer accurate and interpretable predictions for tabular data, a critical tool for statistical modeling. Recent advances in Neural Additive Models (NAMs) allow thes…
DNAMite: Interpretable Calibrated Survival Analysis with Discretized Additive Models
Mike Van Ness, Billy Block, Madeleine Udell
Survival analysis is a classic problem in statistics with important applications in healthcare. Most machine learning models for survival analysis are black-box models, limiting th…
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…