155 citations · 194 across the 3 of their papers we have counts for
3 papers
cs.AI2022★ 34 cited
Write It Like You See It: Detectable Differences in Clinical Notes By Race Lead To Differential Model Recommendations
Hammaad Adam, Ming Ying Yang, Kenrick Cato +6
Clinical notes are becoming an increasingly important data source for machine learning (ML) applications in healthcare. Prior research has shown that deploying ML models can perpet…
cs.LG2022★ 5 cited
Downstream Fairness Caveats with Synthetic Healthcare Data
Karan Bhanot, Ioana Baldini, Dennis Wei +2
This paper evaluates synthetically generated healthcare data for biases and investigates the effect of fairness mitigation techniques on utility-fairness. Privacy laws limit access…
stat.ML2015★ 155 cited
Interpretable Classification Models for Recidivism Prediction
Jiaming Zeng, Berk Ustun, Cynthia Rudin
We investigate a long-debated question, which is how to create predictive models of recidivism that are sufficiently accurate, transparent, and interpretable to use for decision-ma…