Fair Machine Learning for Healthcare Requires Recognizing the Intersectionality of Sociodemographic Factors, a Case Study.
Alissa A. ValentineAlexander W. CharneyIsotta LandiPublished in: CoRR (2024)
Keyphrases
- machine learning
- information extraction
- factors that affect
- factors that influence
- case study
- machine learning algorithms
- text mining
- decision trees
- knowledge acquisition
- data mining
- automatic recognition
- factors affecting
- learning tasks
- machine learning methods
- support vector machine
- knowledge representation
- data analysis
- pattern recognition
- reinforcement learning
- information systems
- supervised machine learning
- patient monitoring
- natural language processing
- model selection
- health care
- explanation based learning
- data sets
- biomedical informatics