1.2k citations · 5k across the 152 of their papers we have counts for
Showing 2016 · stat.MLShow all
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stat.ML2016★ 1 cited
Learning Cost-Effective and Interpretable Regimes for Treatment Recommendation
Himabindu Lakkaraju, Cynthia Rudin
Decision makers, such as doctors and judges, make crucial decisions such as recommending treatments to patients, and granting bails to defendants on a daily basis. Such decisions t…
stat.ML2016★ 58 cited
Learning Optimized Risk Scores
Berk Ustun, Cynthia Rudin
Risk scores are simple classification models that let users make quick risk predictions by adding and subtracting a few small numbers. These models are widely used in medicine and…
stat.ML2016★ 10 cited
Interpretable Machine Learning Models for the Digital Clock Drawing Test
William Souillard-Mandar, Randall Davis, Cynthia Rudin +2
The Clock Drawing Test (CDT) is a rapid, inexpensive, and popular neuropsychological screening tool for cognitive conditions. The Digital Clock Drawing Test (dCDT) uses novel softw…