About this document
Fairness in Alzheimer Prediction Models by Yanwei Jin is a document available to read on EtoBox.
This study evaluates the algorithmic fairness of machine learning models used to predict Alzheimer disease progression, highlighting significant biases against Hispanic, Black, and Asian participants compared to non-Hispanic White participants. The findings indicate that while models are generally accurate, they exhibit notable deficits in fairness across race and ethnicity, particularly in sensitivity for predicting progression to mild cognitive impairment and Alzheimer disease. The authors emphasize the n
- Author
- Yanwei Jin
- Language
- EN