pyhealth
Comprehensive healthcare AI toolkit for developing, testing, and deploying machine learning models with clinical data. This skill should be used when working with electronic health records (EHR), clinical prediction tasks (mortality, readmission, drug recommendation), medical coding systems (ICD, NDC, ATC), physiological signals (EEG, ECG), healthcare datasets (MIMIC-III/IV, eICU, OMOP), or implementing deep learning models for healthcare applications (RETAIN, SafeDrug, Transformer, GNN).
Third-Party Skill: Review the code before installing. Skills execute in your AI assistant's environment and can access your files. Learn more about security
Installation
View all platforms →skilz install davila7_claude-code-templates/pyhealth skilz install davila7_claude-code-templates/pyhealth --agent opencode skilz install davila7_claude-code-templates/pyhealth --agent codex skilz install davila7_claude-code-templates/pyhealth --agent gemini
First time? Install Skilz: pip install skilz
Works with 14 AI coding assistants
Cursor, Aider, Copilot, Windsurf, Qwen, Kimi, and more...
Extract and copy to ~/.claude/skills/ then restart Claude Desktop
git clone https://github.com/davila7/claude-code-templates cp -r claude-code-templates/cli-tool/components/skills/scientific/pyhealth ~/.claude/skills/ Need detailed installation help? Check our platform-specific guides:
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Details
- Owner
- davila7
- Repository
- claude-code-templates
- Stars
- 13,835
- Forks
- 1,200
- Type
- Technical
- Meta-Domain
- data ai
- Primary Domain
- machine learning
- Sub-Domain
- learning models model
- Skill Size
- 86.0 KB
- Files
- 7
- Quality Score
- 66.7
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