Interpretable Machine Learning-Based Risk Scoring with Individual and Ensemble Model Selection for Clinical Decision Making.
Han YuanJin Wee LeeMingxuan LiuSiqi LiChenglin NiuJun WenFeng XiePublished in: Tiny Papers @ ICLR (2023)
Keyphrases
- model selection
- machine learning
- cross validation
- statistical learning
- feature selection
- clinical decision making
- hyperparameters
- sample size
- parameter estimation
- generalization error
- selection criterion
- statistical inference
- variable selection
- risk management
- machine learning methods
- data mining
- image database
- training set
- decision makers
- information criterion
- training data
- ensemble methods
- model selection criteria
- learning algorithm
- risk assessment
- clinical practice
- bayesian methods
- clinical decision support
- computer aided
- decision making
- machine learning algorithms
- statistical analysis
- decision trees
- support vector machine
- domain knowledge
- active learning
- pattern recognition