Charles Senteio

Write It Like You See It: Detectable Differences in Clinical Notes by Race Lead to Differential Model Recommendations

2022

Clinical notes are becoming an increasingly important data source for machine learning (ML) applications in healthcare. Prior research has shown that deploying ML models can perpetuate existing biases against racial minorities, as bias can be …

Automated detection of stigmatizing language in Electronic Health Records (EHRs) using a multi-stage transfer learning approach

2025 · Journal of the American Medical Informatics Association

OBJECTIVE: Stigmatizing language (SL) in Electronic Health Records (EHRs) can perpetuate biases and negatively impact patient care. This study introduces a novel method for automatically detecting such language to improve healthcare documentation practices. MATERIALS AND …