{
    "info": {
        "author": "Erik van Widenfelt",
        "author_email": "ew2789@gmail.com",
        "bugtrack_url": null,
        "classifiers": [
            "Environment :: Web Environment",
            "Framework :: Django",
            "Intended Audience :: Developers",
            "Intended Audience :: Science/Research",
            "License :: OSI Approved :: GNU General Public License v3 (GPLv3)",
            "Operating System :: OS Independent",
            "Programming Language :: Python :: 3.7",
            "Topic :: Internet :: WWW/HTTP",
            "Topic :: Internet :: WWW/HTTP :: Dynamic Content"
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        "description": "|pypi| |travis| |coverage|\n\nedc-reportable\n--------------\n\nReportable clinic events, reference ranges, grading\n\n.. code-block:: python\n\n    from dateutil.relativedelta import relativedelta\n    from edc_utils import get_utcnow\n    from edc_constants.constants import MALE, FEMALE\n    from edc_reportable import ValueReferenceGroup, NormalReference, GradeReference\n    from edc_reportable import site_reportables\n    from edc_reportable.tests.reportables import normal_data, grading_data\n\nCreate a group for each test:\n\n.. code-block:: python\n\n    neutrophils = ValueReferenceGroup(name='neutrophils')\n\nA normal reference is declared like this:\n\n.. code-block:: python\n\n    ref = NormalReference(\n        name='neutrophils',\n        lower=2.5,\n        upper=7.5,\n        units='10e9/L',\n        age_lower=18,\n        age_upper=99,\n        age_units='years',\n        gender=[MALE, FEMALE])\n\n    ref\n\n NormalReference(neutrophils, 2.5<x<7.5 10e9/L MF, 18<AGE<99 years)   \n\nAnd added to a group like this:\n\n.. code-block:: python\n\n    neutrophils.add_normal(ref)\n\nAdd as many normal references in a group as you like, just ensure the ``lower`` and ``upper`` boundaries don't overlap.\n\n **Note**: If the lower and upper values of a normal reference overlap \n with another normal reference in the same group, a ``BoundaryOverlap``\n exception will be raised when the value is evaluated.\n Catch this in your tests.\n\nA grading reference is declared like this:\n\n.. code-block:: python\n\n    g3 = GradeReference(\n        name='neutrophils',\n        grade=3,\n        lower=0.4,\n        lower_inclusive=True,\n        upper=0.59,\n        upper_inclusive=True,\n        units='10e9/L',\n        age_lower=18,\n        age_upper=99,\n        age_units='years',\n        gender=[MALE, FEMALE])\n\n    >>> g3\n    GradeReference(neutrophils, 0.4<=x<=0.59 in 10e9/L GRADE 3, MF, 18<AGE<99 in years) GRADE 3)\n\nAnd added to the group like this:\n\n.. code-block:: python\n\n    neutrophils.add_grading(g3)\n\nDeclare and add a ``GradeReference`` for each reportable grade of the test. \n\n **Note**: If the lower and upper values of a grade reference overlap \n with another grade reference in the same group, a ``BoundaryOverlap``\n exception will be raised when the value is evaluated.\n Catch this in your tests.\n\n\nDeclaring with ``parse``\n========================\n\nYou may find using ``parse`` somewhat simplifies the declaration where ``lower``, ``lower_inclusive``, ``upper`` and ``upper_inclusive`` can be written as a phrase, like ``13.5<=x<=17.5``. For example:\n\n.. code-block:: python\n\n    age_opts = dict(\n        age_lower=18,\n        age_upper=120,\n        age_units='years',\n        age_lower_inclusive=True,\n        age_upper_inclusive=True)\n\n    normal_data = {\n        'haemoglobin': [\n            p('13.5<=x<=17.5', units=GRAMS_PER_DECILITER,\n              gender=[MALE], **age_opts),\n            p('12.0<=x<=15.5', units=GRAMS_PER_DECILITER, gender=[FEMALE], **age_opts)],\n         ...\n    }\n\n\nRegistering with ``site_reportables``\n=====================================\n\nOnce you have declared all your references, register them\n\n.. code-block:: python\n\n    site_reportables.register(\n        name='my_project',\n        normal_data=normal_data,\n        grading_data=grading_data)\n\n\n\n**Important**:\n Writing out references is prone to error. It is better to declare a\n dictionary of normal references and grading references. Use the ``parse`` function\n so that you can use a phrase like ``13.5<=x<=17.5`` instead of a listing attributes. \n There are examples of complete ``normal_data`` and ``grading_data`` in the tests.\n See``edc_reportable.tests.reportables``. \n\nYou can export your declared references to CSV for further inspection\n\n.. code-block:: python\n\n    >>> site_reportables.to_csv(name='my_project', path='~/')\n\n    ('/Users/erikvw/my_project_normal_ranges.csv',\n    '/Users/erikvw/my_project_grading.csv')    \n\nUsing your reportables\n======================\n\nIn your code, get the references by collection name:\n\n.. code-block:: python\n\n    my_project_reportables = site_reportables.get('my_project')\n\n    neutrophil = my_project_reportables.get('neutrophil')\n\n    report_datetime = get_utcnow()\n    dob = (report_datetime - relativedelta(years=25)).date() \n\nCheck a normal value\n====================\n\nIf a value is normal, ``get_normal`` returns the ``NormalReference`` instance that matched with the value. \n\n.. code-block:: python\n\n    # evaluate a normal value\n    normal = neutrophil.get_normal(\n        value=3.5, units='10^9/L',\n        gender=MALE, dob=dob, report_datetime=report_datetime)\n\n    # returns a normal object with information about the range selected\n    >>> normal.description\n    '2.5<=3.5<=7.5 10^9/L MF, 18<=AGE years'\n\nCheck an abnormal value\n=======================\n\nIf a value is abnormal, ``get_normal`` returns ``None``.\n\n.. code-block:: python\n\n    # evaluate an abnormal value\n    opts = dict(\n        units='10^9/L',\n        gender=MALE, dob=dob,\n        report_datetime=report_datetime)\n    normal = neutrophil.get_normal(value=0.3, **opts)\n\n    # returns None\n    >>> if not normal:\n            print('abnormal')\n    'abnormal'\n\nTo show which ranges the value was evaluated against\n\n.. code-block:: python\n\n    # use same options for units, gender, dob, report_datetime\n    >>> neutrophil.get_normal_description(**opts)\n    ['2.5<=x<=7.5 10^9/L MF, 18<=AGE years']\n\nCheck if a value is \"reportable\"\n================================\n\n.. code-block:: python\n\n    grade = neutrophil.get_grade(\n        value=0.43, units='10^9/L',\n        gender=MALE, dob=dob, report_datetime=report_datetime)\n\n    >>> grade.grade\n    3\n\n    >>> grade.description\n    '0.4<=0.43<=0.59 10^9/L GRADE 3'\n\n    grade = neutrophil.get_grade(\n        value=0.3, units='10^9/L',\n        gender=MALE, dob=dob, report_datetime=report_datetime)\n\n    >>> grade.grade\n    4\n\n    >>> grade.description\n    '0.3<0.4 10^9/L GRADE 4'\n\nIf the value is not evaluated against any reportable ranges, a ``NotEvaluated`` exception is raised\n\n.. code-block:: python\n\n    # call with the wrong units\n\n    >>> grade = neutrophil.get_grade(\n            value=0.3, units='mmol/L',\n            gender=MALE, dob=dob, report_datetime=report_datetime)\n\n        NotEvaluated: neutrophil value not graded. No reference range found ...\n\n.. |pypi| image:: https://img.shields.io/pypi/v/edc-reportable.svg\n    :target: https://pypi.python.org/pypi/edc-reportable\n\n.. |travis| image:: https://travis-ci.org/clinicedc/edc-reportable.svg?branch=develop\n    :target: https://travis-ci.org/clinicedc/edc-reportable\n\n.. |coverage| image:: https://coveralls.io/repos/github/clinicedc/edc-reportable/badge.svg?branch=develop\n    :target: https://coveralls.io/github/clinicedc/edc-reportable?branch=develop\n\n\n",
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        "keywords": "django Edc normal clinical reference ranges grading",
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