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K-Dense-AI/claude-scientific-skills查看
数据与复现
CL
Clinical Decision Support
维护者 K-Dense Inc. · 最近更新 2026年4月1日
Clinical Decision Support：生成 professional clinical decision support (CDS) documents ，用于 pharmaceutical companies，clinical researchers，、 medical decision-makers。 This skill specializes in analytical，evidence-based documents that inform treatment strategies 、 drug development：。
原始来源
K-Dense-AI/claude-scientific-skills
https://github.com/K-Dense-AI/claude-scientific-skills/tree/main/scientific-skills/clinical-decision-support
- 维护者
- K-Dense Inc.
- 许可
- MIT License
- 最近更新
- 2026年4月1日
技能摘要
来自 SKILL.md 的关键信息
核心说明
- 生成 professional clinical decision support (CDS) documents ，用于 pharmaceutical companies，clinical researchers，、 medical decision-makers. This skill specializes in analytical，evidence-based documents that inform treatment strategies 、 drug development：。
- 1. Patient Cohort Analysis - Biomarker-stratified group analyses ，支持 statistical outcome comparisons 2. Treatment Recommendation Reports - Evidence-based clinical guidelines ，支持 GRADE grading 、 decision algorithms。
- All documents are generated as publication-ready LaTeX/PDF files optimized ，用于 pharmaceutical research，regulatory submissions，、 clinical guideline development。
- Writing Style：，用于 publication-ready documents targeting medical journals，consult venue-templates skill's medical_journal_styles.md ，用于 guidance on structured abstracts，evidence language，、 CONSORT/STROBE compliance。
- Phase 2/3 Trial Analyses：Biomarker-stratified efficacy 、 safety analyses。
原始文档
SKILL.md 摘录
Document Types
Patient Cohort Analysis
- Biomarker-based patient stratification (molecular subtypes, gene expression, IHC)
- Molecular subtype classification (e.g., GBM mesenchymal-immune-active vs proneural, breast cancer subtypes)
- Outcome metrics with statistical analysis (OS, PFS, ORR, DOR, DCR)
- Statistical comparisons between subgroups (hazard ratios, p-values, 95% CI)
- Survival analysis with Kaplan-Meier curves and log-rank tests
- Efficacy tables and waterfall plots
- Comparative effectiveness analyses
- Pharmaceutical cohort reporting (trial subgroups, real-world evidence)
Treatment Recommendation Reports
- Evidence-based treatment guidelines for specific disease states
- Strength of recommendation grading (GRADE system: 1A, 1B, 2A, 2B, 2C)
- Quality of evidence assessment (high, moderate, low, very low)
- Treatment algorithm flowcharts with TikZ diagrams
- Line-of-therapy sequencing based on biomarkers
- Decision pathways with clinical and molecular criteria
- Pharmaceutical strategy documents
- Clinical guideline development for medical societies
Clinical Features
- Biomarker Integration: Genomic alterations (mutations, CNV, fusions), gene expression signatures, IHC markers, PD-L1 scoring
- Statistical Analysis: Hazard ratios, p-values, confidence intervals, survival curves, Cox regression, log-rank tests
- Evidence Grading: GRADE system (1A/1B/2A/2B/2C), Oxford CEBM levels, quality of evidence assessment
- Clinical Terminology: SNOMED-CT, LOINC, proper medical nomenclature, trial nomenclature
- Regulatory Compliance: HIPAA de-identification, confidentiality headers, ICH-GCP alignment
- Professional Formatting: Compact 0.5in margins, color-coded recommendations, publication-ready, suitable for regulatory submissions
适用场景
- Use Clinical Decision Support ，用于 统计检验 、 quantitative analysis。
- Apply Clinical Decision Support to research 数据集s that require rigorous inference。
- Use clinical-decision-support ，用于 统计检验 、 quantitative analysis。
- Apply clinical-decision-support to research 数据集s that require rigorous inference。
不适用场景
- Do not rely on this catalog entry alone ，用于 installation 或 maintenance details。
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