Claude Skills · DevOps & Infrastructure
Model Evaluation
Aperivue/medsci-skillsCompute and report task-correct held-out metrics for a trained medical-imaging model — segmentation (Dice plus a boundary metric such as HD95 or NSD, per structure), classification (AUROC plus AUPRC and sensitivity/specificity with bootstrap CIs at the deployment prevalence), detection (FROC or mAP with a stated IoU criterion), interactive/promptable segmentation (the interaction-count, convergence, and per-case-time axes a static Dice omits), or generative/synthesis image evaluation (similarity plus the downstream-task efficacy similarity alone cannot establish) — plus calibration and subgrou...
At a glance
This skill is for DevOps & Infrastructure.
/plugin marketplace add Aperivue/medsci-skills
/plugin install model-evaluation
Setup, runtime and requirements describe Aperivue/medsci-skills, the repo this skill ships in.
Also in Aperivue/medsci-skills
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Add a new journal to the MedSci Skills profile database. Extracts metadata from author guidelines, generates write-paper (detailed) and find...
Statistical analysis for medical research papers. Generates reproducible Python/R code with publication-ready tables and figures. Supports d...
Choose a model architecture for a medical-imaging research question before scaffolding. Maps the task (classification, segmentation, detecti...
PubMed author profile analysis. Author name → PubMed fetch → study-type classification → visualization → strategy report → optional trajecto...
Generate N analysis scripts from a single methodology template × multiple exposure/outcome combinations. The "80-person team" pattern — same...
Interactive sample size calculator for medical research. Decision-tree guided test selection, reproducible R/Python code, effect size interp...
Check manuscript compliance with medical research reporting guidelines. Supports 49 guidelines including STROBE, STROBE-MR, RECORD, REMARK (...
Interactive data profiling and cleaning assistant for medical research. Three-stage workflow (profile, flag, code-generate) with user approv...
Offer your local changes back to the project — a journal profile you added, a checklist item you fixed, a skill you adapted to your departme...
End-to-end cross-national comparison study using KNHANES + NHANES + CHNS (or other parallel surveys). Variable harmonization, parallel weigh...
Literature-grounded variable operationalization for observational research. Turns a data dictionary + research question into a citation-back...
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