This demo server relates to the publication Hoffmann et al. "Data integration between clinical research and patient care: a framework for context-depending data sharing and in silico predictions", submitted for publication to PLOS Digital Health (2022).
Developer documentation, including initial installation instructions, is available in Sphinx format in the docs directory. For information on creating HTML output, see section Building Documentation.
Note
This repository also contains the computational models (demo_model.zip) that have to be implemented in the Model and Simulation Server "MAGPIE" and sample datasets (demo_db.sqlite3, demo_media.zip) that can be used for testing the clinic and the research view. Brief instructions on how to set up the test server can be found in section Quickstart.
For testing purposes, we provide access to a test instance of the MOSAIC TTP (Trusted Third Party) server that contains the identifying patient data, the consents, and the pseudonyms used in the test environment.
To bootstrap the test server:
virtualenv env source path/to/env/bin/activate cd path/to/predictDemo/repository pip install -r requirements.pip cp predictDemo/settings/local.py.example predictDemo/settings/local.py
Unzip demo_media.zip to media folder in path/to/predict/repository/ directory.
Start the Server:
python manage.py runserver
Happy Testing!
Documentation is available in docs and can be built into a number of
formats using Sphinx. To get started:
cd docs make html
This creates the documentation in HTML format at docs/_build/html.
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