// active research
Current work.
In Progress
Bias Detection & Mitigation in Clinical Healthcare Text
Developing a multi-layer framework for detecting and mitigating implicit and explicit bias in clinical discharge notes using transformer-based NLP models. The system spans corpus construction, supervised classification, explainability auditing, and bias-aware mitigation — designed to improve fairness in AI-assisted clinical decision-making.
01
Dataset Construction
Complete ✓
02
Human Annotation
In Progress
03
Model Training
Upcoming
04
Explainability & Mitigation
Upcoming
05
Evaluation & Publication
Upcoming