To address disparities in diabetes, we optimized a one-step feedback delayed model to evaluate three fairness criteria (i.e., maximum utility, equal opportunity, demographic parity) in 459,280 real-world diabetes cases. Temporal fairness models can help foresee the impact a fairness criterion would have if enforced as a constraint in a classification system. Our main finding is that disparities exist as utility-maximizing results in relative harm but that this might be mitigated with an unconstrained utility objective.

 

The abstract has been accepted for virtual Discover Brigham 2020.