Radiomics Ml · Aperivue/medsci-skills
Build or audit a rigorous radiomics/clinical-ML pipeline
Builds or audits a radiomics or tabular clinical-ML pipeline — from feature selection through nested cross-validation, calibration, and external validation — helping researchers meet the statistical rigor reviewers expect, without running models on real patient data.
Good for
- Audit an existing radiomics pipeline for optimistic bias
- Set up nested cross-validation for a small feature set
- Check feature stability before building a prediction model
- Source repository
- Aperivue/medsci-skills
- Category
- Medicine
Open-source skills are maintained by their authors and listed as published, with attribution. Results depend on how well the skill fits your task and material.
A good place to start
Audit my radiomics pipeline for nested cross-validation, feature-selection leakage, and calibration issues before I submit it.
Make your next great thing.
Bring a question, a file, or an idea that’s not quite there yet.