Reasoning tools for identifying patterns, making classifications, and generating predictions.
- Machine Learning - Feature engineering, overfitting, bias-variance tradeoff, cross-validation
- Medical Diagnostics - Differential diagnosis, Bayesian reasoning, decision trees, heuristics
- Building and testing pattern libraries
- Balancing sensitivity with specificity
- Avoiding overfitting to noise
- Using statistical vs clinical reasoning
- Learning from labeled examples
Tools that appear across multiple domains in this category:
- Differential diagnosis and hypothesis generation
- Feature selection and dimensionality reduction
- Cross-validation and out-of-sample testing
- Bias-variance tradeoff
- Base rate integration