Furinaaa-Cancan
@Furinaaa-Cancan
Public Skills
ml-governance-guard
by Furinaaa-Cancan
"Publication-grade governance for retrospective cohort binary-classification ML (EHR/registry/case-control/cross-sectional). 33 fail-closed gates covering leakage, calibration, fairness, TRIPOD+AI/PROBAST+AI compliance. Refuses omics/imaging/text modalities via R028."
ml-leakage-guard
by Furinaaa-Cancan
"Publication-grade medical prediction workflow with strict anti-data-leakage controls, phenotype-definition safeguards, lineage-based leakage detection, split-protocol verification, class-imbalance policy validation, hyperparameter-tuning isolation checks, falsification tests, and reproducibility gates. Use when building, reviewing, or debugging disease risk or prognosis models in EHR/claims/registry data, especially when target definitions, diagnosis codes, lab criteria, medications, temporal windows, and derived features can leak target information."