Fairness and bias correction in machine learning for depression prediction: results from four study populations

1 code implementation • 10 Nov 2022 • Vien Ngoc Dang, Anna Cascarano, Rosa H. Mulder, Charlotte Cecil, Maria A. Zuluaga, Jerónimo Hernández-González, Karim Lekadir

Here, we present a systematic study of bias in ML models designed to predict depression in four different case studies covering different countries and populations.

Fairness Model Selection