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.LG2025
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…