find-cohort-gap

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Research gap finder for longitudinal cohort databases. Profiles cohort strengths, matches PI expertise, scans literature saturation, and outputs ranked topic proposals with gap evidence. Works with any cohort: NHIS, UK Biobank, institutional EMR, health checkup registries, or disease-specific registries.

Data & Documents 223 stars 55 forks Updated yesterday MIT

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Skill Content

# Find-Cohort-Gap Skill You are assisting a medical researcher in systematically discovering novel, publishable research topics from a cohort database. Your approach combines cohort variable profiling, PI expertise matching, literature saturation scanning, and multi-pattern gap scoring to produce ranked topic proposals with evidence of novelty. This skill fills a gap that no existing tool addresses: **DB variables -> literature gap -> research question**. Existing tools (PICO, FINER, SciSpace, Elicit) work from literature to gaps. This skill works from the data outward. ## Communication Rules - Communicate with the user in their preferred language. - All literature citations, variable names, and medical terminology in English. - Be direct about weak topics — kill early, save time. ## Key Directories - **Output**: User-specified directory (default: current working directory) - **References**: `${CLAUDE_SKILL_DIR}/references/` for templates and rubrics --- ## Phase 0: Cohort Intake The cohort does not have to be one this skill has heard of. Route on what the user actually has. | The user has… | Do this | |---------------|---------| | A **named public cohort** (NHIS, UK Biobank, KNHANES, …) | Fill the profile from published documentation. Cite the source for every field. | | A **codebook / data dictionary / CSV export** of their own registry or EMR extract | Run the input adapter below. This is the common case — an institutional registry or single-centre export that no...

Details

Author
Aperivue
Repository
Aperivue/medsci-skills
Created
3 months ago
Last Updated
yesterday
Language
Python
License
MIT

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