Assess positive-sum fairness of CXR classifiers leveraging demographic attributes
Principal Investigator
Name
Samia Belhadj
Degrees
M.D.
Institution
Lunit Inc.
Position Title
Data Scientist
Email
About this CDAS Project
Study
PLCO
(Learn more about this study)
Project ID
PLCO-1490
Initial CDAS Request Approval
Feb 27, 2024
Title
Assess positive-sum fairness of CXR classifiers leveraging demographic attributes
Summary
We would like to study and discuss harmful vs non-harmful fairness on CXR classifiers. To do so, we want to train different classifiers which leverage or not demographic attributes ans compare their results.
Aims
- Study positive-sum fairness (harmful and non-harmful fairness)
- Study the impact of demographic attributes on the performance and fairness of a model
Collaborators
Sanguk Park (Lunit Inc.)
Samia Belhadj (Lunit Inc.)
Hesham Dar (Lunit Inc.)
Thijs Kooi (Lunit Inc.)