Individual skill
outcome-extraction-for-clinical-trials
Clinical research outcome extraction for meta-analysis. Use when users need to extract outcome measures (binary, continuous, or survival data) from clinical research papers for systematic review and meta-analysis. Handles both database lookup by PMID and real-time LLM extraction.
scientific-skills/Data Analysis/outcome-extraction-for-clinical-trials/SKILL.md
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- bioinformatics Repository topic
- computational-biology Repository topic
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SKILL.mdcore · 5,558 bytesSKILL.mdcore · 5,558 bytesSKILL.mdcore · 5,558 bytesoutcome-extraction-for-clinical-trials_audit_result_v1.jsonasset · 12,275 bytesreferences/extraction-prompts.mddoc · 6,810 bytesscripts/extract_pdf.pyruns · 2,705 bytes
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> **Source**: [https://github.com/aipoch/medical-research-skills](https://github.com/aipoch/medical-research-skills)
# Clinical Outcome Extraction
Extract structured outcome data from clinical research papers for meta-analysis.
## When to Use
- Use this skill when you need clinical research outcome extraction for meta-analysis. use when users need to extract outcome measures (binary, continuous, or survival data) from clinical research papers for systematic review and meta-analysis. handles both database lookup by pmid and real-time llm extraction in a reproducible workflow.
- Use this skill when a data analytics task needs a packaged method instead of ad-hoc freeform output.
- Use this skill when the user expects a concrete deliverable, validation step, or file-based result.
- Use this skill when `scripts/extract_pdf.py` is the most direct path to complete the request.
- Use this skill when you need the `outcome-extraction for clinical trials` package behavior rather than a generic answer.
## Key Features