Interpretable Bias Mitigation for Textual Data: Reducing Genderization in Patient Notes While Maintaining Classification Performance.
Joshua R. MinotNicholas CheneyMarc MaierDanne C. ElbersChristopher M. DanforthPeter Sheridan DoddsPublished in: ACM Trans. Comput. Heal. (2022)
Keyphrases
- textual data
- classification rules
- natural language processing
- image classification
- feature extraction
- information extraction
- decision trees
- machine learning
- databases
- text mining
- text classification
- text categorization
- relational databases
- feature vectors
- unsupervised learning
- feature selection
- image data
- dimensionality reduction
- text documents