1 citations · 1 across the 2 of their papers we have counts for
3 papers
cs.LG2026
Learning Continuous Patient Trajectories from Electronic Health Records
Silas Ruhrberg Estévez, Kara Liu, Christopher Chiu +4
Electronic health records provide irregular observations of latent patient states that evolve continuously over time. Recent autoregressive models condition on clinical histories t…
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★ 1 cited
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…