Investigation of bias in an epilepsy machine learning algorithm trained on physician notes.

In brief

This study examines whether natural language processing algorithms trained on physician notes exhibit racial bias when identifying epilepsy surgery candidates. Using 1097 clinical notes from 175 patients, researchers evaluated algorithmic fairness in surgical referral recommendations to address documented disparities in epilepsy surgery utilization.

Written by the GCMD Library team from the article.