2 papers
cs.LG2026
A Practical Upper Bound on Selection Bias Effects in Medical Prediction Models
Kara Liu, Maggie Wang, Russ B. Altman
Selection bias is a common and often unavoidable aspect of real-world data that challenges the generalizability of machine learning models. When models trained on biased data are d…
cs.LG2025
Detecting clinician implicit biases in diagnoses using proximal causal inference
Kara Liu, Russ Altman, Vasilis Syrgkanis
Clinical decisions to treat and diagnose patients are affected by implicit biases formed by racism, ableism, sexism, and other stereotypes. These biases reflect broader systemic di…