Comprehensive testing scenarios designed to validate different aspects of enhanced medical decision tree functionality using the tree test datasets. Each scenario targets specific analysis capabilities, visualization types, and statistical methods for comprehensive validation.
Format
A data frame with 12 observations and 5 variables:
- Scenario
Character. Name of the testing scenario
- Dataset
Character. Recommended dataset for this scenario
- Analysis_Type
Character. Type of analysis being validated
- Variables
Character. Key variables for the analysis
- Expected_Result
Character. Expected outcome and validation criteria
Details
This documentation provides systematic testing scenarios covering all major medical decision tree analysis capabilities and validation requirements:
Core Analysis Types Tested:
Basic Classification: Standard decision tree diagnosis
Biomarker Selection: Feature importance and ranking
Risk Stratification: Clinical risk group assignment
Spatial Analysis: Autocart spatial decision trees
Cross-Validation: k-fold performance assessment
Bootstrap Validation: Confidence interval estimation
Model Comparison: Algorithm performance comparison
Clinical Interpretation: Medical guideline generation
Missing Data Handling: Imputation and robustness
Class Imbalance: Rare disease and outcome handling
Feature Scaling: Multi-scale biomarker integration
Edge Case Testing: Small sample robustness
Statistical Methods Validated:
FFTrees fast-and-frugal trees
Spatial autocorrelation analysis
Bootstrap confidence intervals
Cross-validation performance metrics
Clinical performance assessment
Risk stratification analysis
Clinical Applications Tested:
Oncology diagnosis and staging
Cardiovascular risk assessment
Pathology pattern recognition
Pharmacogenomics treatment selection
Pediatric developmental screening
Edge case handling and robustness
Each scenario includes the recommended dataset, analysis type, key variables, and expected results for comprehensive validation of enhanced medical decision tree analysis capabilities.