Fairness-Aware Interpretable Modeling (FAIM) for Trustworthy Machine Learning in Healthcare.
Mingxuan LiuYilin NingYuhe KeYuqing ShangBibhas ChakrabortyMarcus Eng Hock OngRoger VaughanNan LiuPublished in: CoRR (2024)
Keyphrases
- machine learning
- machine learning algorithms
- data driven approaches
- machine learning methods
- computer vision
- pattern recognition
- active learning
- resource allocation
- inductive learning
- natural language processing
- text mining
- knowledge acquisition
- biomedical informatics
- neural network
- modeling method
- statistical methods
- health care
- information extraction
- management system
- data analysis
- artificial intelligence
- data mining