FasterRisk: Fast and Accurate Interpretable Risk Scores

  title={FasterRisk: Fast and Accurate Interpretable Risk Scores},
  author={Jiachang Liu and Chudi Zhong and Boxuan Li and Margo I. Seltzer and Cynthia Rudin},
Over the last century, risk scores have been the most popular form of predictive model used in healthcare and criminal justice. Risk scores are sparse linear models with integer coefficients; often these models can be memorized or placed on an index card. Typically, risk scores have been created either without data or by rounding logistic regression coefficients, but these methods do not reliably produce high-quality risk scores. Recent work used mathematical programming, which is… 

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