radiomics-ml
From the author
Use when building or auditing a radiomics or tabular clinical-ML prediction model with a classical learner (LASSO, SVM, random forest, XGBoost and similar). Enforces nested CV, dimensionality control, in-fold feature selection, feature stability, calibration and external validation.
Install
npx skills add Aperivue/medsci-skills --skill radiomics-ml -a claude-code
Installs to .claude/skills/radiomics-ml/ · Each command fetches the skill straight from GitHub with the open skills CLI.
Byte-identical to the scanned commit, with the repository’s licence and a SOURCE.txt.
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Why 80
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