Assessing fairness in machine learning models: A study of racial bias using matched counterparts in mortality prediction for patients with chronic diseases
This study contributes to research on fairness assessment by focusing on the examination of systematic disparities and underscores the potential for revealing racial bias in machine learning models used in clinical settings.
Jun 11, 2024
Oral Presentation at AMIA 2023 Annual Symposium
In Session 14: Application of Informatics in Health Equity - "All the Things You Are" at AMIA.
Nov 13, 2023