Summary table providing comprehensive overview of all enhanced tree test datasets including patient counts, variable numbers, clinical contexts, and primary usage scenarios for comprehensive medical decision tree analysis validation.
Format
A data frame with 6 observations and 7 variables:
- Dataset
Character. Dataset name
- N_Patients
Integer. Number of patients/cases
- N_Variables
Integer. Number of variables
- Description
Character. Brief dataset description
- Clinical_Context
Character. Primary clinical application area
- Target_Variable
Character. Primary outcome variable name
- Spatial_Analysis
Character. Spatial analysis capability
Details
This summary table provides a comprehensive reference for all enhanced tree test datasets, helping users select appropriate datasets for their testing needs and understand the clinical contexts and analytical capabilities of each dataset.
Total Collection Statistics:
6 comprehensive test datasets
1,775 total patients across all datasets
Multiple clinical contexts covered
Complete coverage of medical decision tree functionality
Clinical Scenarios Covered:
Oncology diagnosis and biomarker selection
Cardiovascular risk assessment and screening
Pathology diagnosis and tissue analysis
Pharmacogenomics and precision medicine
Pediatric growth and development assessment
Small sample and edge case scenarios