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    "info": {
        "author": "Andrew MacKinlay",
        "author_email": "andrew.mackinlay@nicta.com.au",
        "bugtrack_url": null,
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        "description": "StructuRX interprets medication prescriptions into a structured format using\ndependency parses [1] or third-party drug NER pipeline [2].\n\nThe dependency-parse version uses a hand-crafted set of rules as described in\n[1] based on the output of the `ClearParser dependency parser\n<https://code.google.com/p/clearparser>`_, while the alternative method\ndescribed in [2] uses the output of the drug NER pipeline from the `cTAKES\nclinical NER system <http://sourceforge.net/projects/ohnlp/files/cTAKES/>`_.\n\nCreated by Andrew MacKinlay from the `Biomedical Informatics team \n<http://nicta.com.au/business/health/biomedical_informatics>`_ at `NICTA \n<http://nicta.com.au>`_, and licensed under the Apache License 2.0.\n\nRecommended installation method:\n\n::\n\n  $ pip install StructuRX\n\nBut of course you can instead do an old-fashioned:\n\n::\n\n $ python setup.py install\n\nfrom a `VCS checkout <https://bitbucket.org/nicta_biomed/structurx/src>`_ or \n`tarball/zip download <https://bitbucket.org/nicta_biomed/structurx/downloads>`_.\nIn the latter case you will need to ensure that `ClearWrap \n<https://bitbucket.org/nicta_biomed/clearwrap>`_ is \ninstalled, and in either case you will need a copy of the \n`NICTA fork <https://bitbucket.org/nicta_biomed/clearparser_flex>`_\nof `ClearParser <https://code.google.com/p/clearparser>`_ available to do the\ndependency parsing. We highly recommend installing into a virtualenv.\nIf you wish to test against cTAKES, that will naturally need to be installed as \nwell. \n\nAfter installing, run the provided script ``structurx-run.py`` and follow\nthe instructions for configuration.\n\n* [1] A. MacKinlay and K. Verspoor. 2012. `Extracting structured information\n  from free-text medication prescriptions using dependencies\n  <http://www.nicta.com.au/pub?id=6102>`_. DTMBIO 2012. \n* [2] A. MacKinlay and K.\n  Verspoor. 2013. A Comparison of Strategies for Extracting Structured\n  Information from Free-Text Medication Prescriptions. LOUHI 2013.",
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        "license": "Apache 2.0",
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        "name": "StructuRX",
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