run-simulator-pipeline

What problem does it solve?

This Skill runs an end-to-end synthetic patient simulator pipeline for Type 1 Diabetes, creating patient data for analysis and evaluation of PatternService detectors.

Core Features & Use Cases

• Synthetic Patient Data Generation: Creates synthetic patient data from 12 anchor profiles, including CGM traces, meals, insulin, exercise, and sleep.
• Pattern Detection Evaluation: Evaluates PatternService detector accuracy against known ground truth.
• Benchmarking: Benchmarks new detectors across all anchor profiles.
• Regression Testing: Runs regression tests after changing detector parameters or confidence logic.
• UI Prototyping and Integration Testing: Generates synthetic patient data for UI prototyping and integration testing.

Quick Start

Run the synthetic patient simulator pipeline by executing the command: run the simulator.