An empirical characterization of fair machine learning for clinical risk prediction.
Stephen R. PfohlAgata ForyciarzNigam H. ShahPublished in: J. Biomed. Informatics (2021)
Keyphrases
- machine learning
- prediction accuracy
- pattern recognition
- decision trees
- information extraction
- prediction algorithm
- prediction error
- learning algorithm
- risk management
- prediction model
- patient data
- clinical practice
- medical domain
- decision making
- feature selection
- high risk
- bladder cancer
- knowledge representation
- regression model
- machine learning algorithms
- knowledge acquisition
- medical data
- clinical data
- risk assessment
- risk factors
- text classification
- computational intelligence
- clinical trials
- natural language processing
- support vector machine
- protein secondary structure prediction
- computer vision