clinical-decision-support

Generate clinical decision support documents with GRADE evidence grading and LaTeX/PDF output.

Updated Mar 10, 2026
One-click install
npx skills add https://github.com/Yezez9/Research-Agent --skill clinical-decision-support-yezez9
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: clinical-decision-support
Source: https://github.com/Yezez9/Research-Agent/tree/main/scientific-skills/clinical-decision-support
Command: npx skills add https://github.com/Yezez9/Research-Agent --skill clinical-decision-support-yezez9

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill requires pandas, numpy, scipy, lifelines, matplotlib, pyyaml, scikit-learn, and includes scripts (resource) and references (resource) and assets (resource) components.

What problem does it solve?

This Skill automates the creation of professional clinical decision support documents, including patient cohort analyses and treatment recommendation reports, saving researchers and clinicians significant time.

Core Features & Use Cases

  • Automated Document Generation: Creates publication-ready LaTeX/PDF documents for clinical research and pharmaceutical development.
  • Biomarker Stratification: Analyzes patient cohorts based on molecular subtypes or biomarker status.
  • Evidence-Based Recommendations: Develops clinical guidelines with GRADE grading and decision algorithms.
  • Use Case: Generate a biomarker-stratified patient cohort analysis report for a new oncology drug trial, complete with statistical comparisons and publication-ready figures.

Quick Start

Use the clinical-decision-support skill to generate a treatment recommendation report for HER2-positive metastatic breast cancer.

Frequently Asked Questions about clinical-decision-support

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I generate a publication-ready clinical decision support document from patient cohort data?

You can generate publication-ready LaTeX/PDF clinical decision support documents by using this Skill to automate patient cohort analyses and treatment recommendation reports directly from your data.

What is GRADE methodology and how does it apply to treatment recommendations?

GRADE methodology grades evidence quality in clinical guidelines; this Skill integrates GRADE methodology to develop evidence-based treatment recommendation reports with structured decision algorithms for pharmaceutical research.

Can I use pandas and lifelines for biomarker stratification in clinical trial analysis?

Yes, this Skill uses pandas and lifelines to analyze patient cohorts based on molecular subtypes, enabling biomarker stratification for clinical trial analysis with statistical comparisons and publication-ready figures.

Does this clinical decision support tool support LaTeX output for oncology drug trials?

Yes, this clinical decision support tool supports publication-ready LaTeX/PDF output optimized for drug development, including biomarker-stratified patient cohort analysis reports for oncology drug trials.

How do I create a treatment recommendation report for HER2-positive metastatic breast cancer?

You can create a treatment recommendation report for HER2-positive metastatic breast cancer by using this Skill to automate clinical decision support document generation with GRADE evidence grading and decision algorithms.