Pilot use-case – research demonstrator
Breast cancer risk stratification into 4 research classes (from a ~30-question questionnaire)
Structured tabular modeling with missingness handling and conservative class interpretation.
Research-only disclaimer
These demonstrator use cases are provided for scientific research and exploration purposes only.
They do not constitute medical diagnosis, clinical decision support, or treatment recommendation.
Ethical and Regulatory Note
Read the cross-cutting note →Research question
How can questionnaire-based medical, hormonal, familial, and lifestyle data be used to stratify individuals into distinct breast cancer risk profiles for research purposes?
Explicit exclusions (non-negotiable)
- No clinical risk categorization
- No individual medical advice
- Research constructs only
Data structure (illustrative)
- ~30 structured questionnaire variables
- Self-reported and clinician-reported fields
- Explicit missing data patterns
Modeling concepts (demo-level)
- Ordinal stratification into 4 research classes
- Feature attribution (research) for dominant factors
- Bias and limitation analysis
Outputs (research)
- Very low
- Low
- Moderate
- Elevated
Risk classes are research constructs and do not correspond to clinical risk categories.