Interpretable Machine Learning for Self-Service High-Risk Decision-Making.
Charles RecaidoBoris KovalerchukPublished in: IV (2022)
Keyphrases
- high risk
- machine learning
- decision making
- business intelligence
- risk factors
- decision makers
- prostate cancer
- data mining
- data analysis
- machine learning methods
- life cycle
- statistical methods
- learning algorithm
- decision support system
- machine learning algorithms
- computational intelligence
- pattern recognition
- feature selection
- artificial intelligence
- decision support
- fuzzy logic
- risk assessment
- computer vision
- decision trees
- statistical analysis
- anomaly detection
- support vector machine
- knowledge discovery