prediction-model
CommunityTRIPOD+AI-ready model reporting guide
Education & Research#reproducibility#machine-learning#clinical-prediction#reporting-standards#prediction-model#TRIPOD+AI
AuthorolaTechie
Version1.0.0
Installs0
System Documentation
What problem does it solve?
This Study-type module provides a comprehensive, standardized framework for reporting clinical prediction models and generic ML studies in TRIPOD+AI style, reducing ambiguity and improving reproducibility.
Core Features & Use Cases
- Templates for Data Source, Participants, Predictors, Sample Size, Missing Data, Model Development, and Performance aligned with TRIPOD+AI.
- Guidance for internal and external validation, calibration assessment, and clinical utility reporting to support robust manuscript drafting.
- Software citation standards and a TRIPOD+AI checklist to ensure transparent, publish-ready documentation across clinical and non-clinical ML contexts.
Quick Start
Provide a TRIPOD+AI-compliant manuscript outline for a prediction-model study to begin drafting.
Dependency Matrix
Required Modules
None requiredComponents
Standard package💻 Claude Code Installation
Recommended: Let Claude install automatically. Simply copy and paste the text below to Claude Code.
Please help me install this Skill: Name: prediction-model Download link: https://github.com/olaTechie/scientific-paper-writer/archive/main.zip#prediction-model Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
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