2 citations · 2 across the 2 of their papers we have counts for
2 papers
cs.CY2025
When Algorithms Infer Gender: Revisiting Computational Phenotyping with Electronic Health Records Data
Jessica Gronsbell, Hilary Thurston, Lillian Dong +5
Computational phenotyping has emerged as a practical solution to the incomplete collection of data on gender in electronic health records (EHRs). This approach relies on algorithms…
cs.LG2024★ 2 cited
What is Fair? Defining Fairness in Machine Learning for Health
Jianhui Gao, Benson Chou, Zachary R. McCaw +4
Ensuring that machine learning (ML) models are safe, effective, and equitable across all patients is critical for clinical decision-making and for preventing the amplification of e…