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OMOP Notebook (experimental)

Analyses on the OMOP Common Data Model using Jupyter and Google Cloud Platform

Note: This is experimental and may not be actively maintained

Requirements

Getting Started on Linux

  • Create an isolated Python environment (recommended)

     python3 -m .venv
     source .venv/bin/activate
     python3 -m pip install --upgrade pip  # upgrade pip if needed
    
  • Install the dependency packages in your Python environment

     pip install -r requirements.txt
    
  • An environment variable GOOGLE_APPLICATION_CREDENTIALS should point to a file that defines the credentials (see Google Application Default Credentials)

  • Start the notebook server

     jupyter notebook
    

About

Replicate some reports from Achilles to characterize synthetic OMOP datasets in BQ

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