genpark-personal-agent-pulmonary-alveolar-dead-space-bohr-enghoff-skill
mcp
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Deterministic personal agent skill for calculating Bohr-Enghoff Alveolar Dead Space Fraction (V_D/V_T) and alveolar-arterial oxygen gradient.
README.md
Pulmonary Alveolar Dead Space (Bohr-Enghoff) Skill
Physiological Alveolar Dead Space Fraction ($V_D / V_T$) and Alveolar Gas Exchange Calculator based on the Bohr-Enghoff formulation.
flowchart TD
A[Arterial PaCO2 & Mixed Expired PECO2] --> B[Compute V_D / V_T = PaCO2 - PECO2 / PaCO2]
C[Barometric Pressure & FiO2] --> D[Alveolar Gas Equation: PAO2]
D & E[Arterial PaO2] --> F[Alveolar-Arterial Gradient: P A-a O2]
B & F --> G[Ventilation-Perfusion Matching Evaluation]
Features
- Zero PIP Dependencies: Implemented strictly with Python Standard Library (
math,json,sys,typing). - Standard Bohr-Enghoff Formula: Resolves arterial-to-expired carbon dioxide gradient into non-perfused alveolar fraction.
- Alveolar Gas Equation: Age-adjusted physiological shunt and diffusion gradient analysis.
- Dual Architecture: Native Python import and Model Context Protocol (MCP) JSON-RPC 2.0 stdio server.
Quickstart
python example_usage.py
License
Apache-2.0
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