Interpretable Machine Learning for Self-Service High-Risk Decision-Making.
Charles RecaidoBoris KovalerchukPublished in: CoRR (2022)
Keyphrases
- high risk
- machine learning
- decision making
- business intelligence
- risk factors
- data mining
- prostate cancer
- machine learning methods
- decision makers
- artificial intelligence
- feature selection
- decision trees
- machine learning algorithms
- decision support
- life cycle
- computational intelligence
- fuzzy logic
- pattern recognition
- text classification
- data analysis
- computer vision
- intensive care unit
- unsupervised learning
- statistical analysis
- model selection
- design process