Analyze IMRT QA Report data mined with IQDM-PDF
Project description
What does it do?
IQDM Analytics is a desktop application that mines IMRT QA reports with IQDM-PDF and performs statistical analysis.
Executables
Single-file executables are available. See attachments in the latest release.
Other information
This library is part of the IMRT QA Data Mining (IQDM) project for the AAPM IMRT Working Group (WGIMRT).
- Free software: MIT license
- Documentation: Read the docs
Dependencies
- iqdmpdf - Mine IMRT QA PDF’s
- wxPython Phoenix - Build a native GUI on Windows, Mac, or Unix systems
- Bokeh - Interactive Web Plotting for Python
- NumPy - The fundamental package for scientific computing with Python
- selenium - A browser automation framework and ecosystem
- PhantomJS - PhantomJS is a headless web browser scriptable with JavaScript
- pypubsub - A Python publish-subscribe library
Install and Run
If you prefer to run from source:
$ git clone https://github.com/IQDM/IQDM-Analytics.git $ cd IQDM-Analytics $ python iqdma_app.py
Note you may have to use pythonw instead of python, depending on your version.
TODO
- Ability to cancel PDF-Miner thread
- Unit testing (non-GUI)
- Setup continuous integration
- Consolidate/Clean-up UserSettings Dialog code
Credits
Development Lead
- Dan Cutright, University of Chicago Medicine
Contributors
- Marc Chamberland, University of Vermont Health Network
- Serpil Kucuker Dogan, Northwestern Medicine
- Mahesh Gopalakrishnan, Northwestern Medicine
- Aditya Panchal, AMITA Health
- Michael Snyder, Beaumont Health
Project details
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Source Distribution
iqdma-0.1.9.tar.gz
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Built Distribution
iqdma-0.1.9-py3-none-any.whl
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