Publications [#330663] of Cynthia D. Rudin

Papers Published

1. Letham, B; Rudin, C; McCormick, TH; Madigan, D, An interpretable stroke prediction model using rules and Bayesian analysis, Aaai Workshop Technical Report, vol. WS-13-17 (January, 2013), pp. 65-67, ISBN 9781577356288
   (last updated on 2026/01/16)

   Abstract:
   We aim to produce predictive models that are not only accurate, but are also interpretable to human experts. We introduce a generative model called the Bayesian List Machine for fitting decision lists, a type of interpretable classifier, to data. We use the model to predict stroke in atrial fibrillation patients, and produce predictive models that are simple enough to be understood by patients yet significantly outperform the medical scoring systems currently in use.