{ "info": { "author": "Nikhil Haas", "author_email": "nikhil@nikhilhaas.com", "bugtrack_url": null, "classifiers": [ "Development Status :: 2 - Pre-Alpha", "Intended Audience :: Developers", "License :: OSI Approved :: ISC License (ISCL)", "Natural Language :: English", "Programming Language :: Python :: 2", "Programming Language :: Python :: 2.6", "Programming Language :: Python :: 2.7", "Programming Language :: Python :: 3", "Programming Language :: Python :: 3.3", "Programming Language :: Python :: 3.4" ], "description": "=========\nEHRcorral\n=========\n\n.. image:: https://img.shields.io/travis/nsh87/ehrcorral.svg\n :target: https://travis-ci.org/nsh87/ehrcorral\n\n.. image:: https://img.shields.io/pypi/v/ehrcorral.svg\n :target: https://pypi.python.org/pypi/ehrcorral\n\nEHRCorral matches, links, and de-duplicates electronic medical records for\nthe purpose of creating a master patient index (MPI).\n\n* Free software: ISC license\n* Documentation: https://ehrcorral.readthedocs.org.\n\nQuick Start\n-----------\n\n\n\n\nRelease Log\n-----------\n\n0.0.1 (2015-12-17)\n^^^^^^^^^^^^^^^^^^\n\n* First release on PyPI.\n + Docs need updating and more usage.\n + Corralling is functional, but does not use nickname expansions.\n + Some tweaking of probabilities could be attempted for certain scenarios.\n + Probabilities are generated using birth year, name fields, address, and\n zip code.\n\n0.0.2 (2015-12-17)\n^^^^^^^^^^^^^^^^^^\n\n* Update documentation.\n + Add significant documentation of matching algorithm in Overview docs.\n + Fix up code examples in Usage docs.\n\n0.0.3 (2015-12-17)\n^^^^^^^^^^^^^^^^^^\n\n* Another update to documentation.\n + The previous release had some minor docs stuff missing.", "description_content_type": null, "docs_url": null, "download_url": "", "downloads": { "last_day": -1, "last_month": -1, "last_week": -1 }, "home_page": "https://github.com/nsh87/ehrcorral", "keywords": "record linkage ehr patient matching", "license": "ISCL", "maintainer": "", "maintainer_email": "", "name": "EHRcorral", "package_url": "https://pypi.org/project/EHRcorral/", "platform": "UNKNOWN", "project_url": "https://pypi.org/project/EHRcorral/", "project_urls": { "Homepage": "https://github.com/nsh87/ehrcorral" }, "release_url": "https://pypi.org/project/EHRcorral/0.0.3/", "requires_dist": null, "requires_python": "", "summary": "EHRcorral cross-matches and links electronic medical records for the purpose of de-duplication", "version": "0.0.3" }, "last_serial": 1867955, "releases": { "0.0.1": [ { "comment_text": "", "digests": { "md5": "d56524cf31d037c37fbc3ebcf8c7725d", "sha256": "875c3fc20d489d99daf21f157ad35ccf355fac3375cdac149c5737d4bc5b4b55" }, "downloads": -1, "filename": "EHRcorral-0.0.1.tar.gz", "has_sig": false, "md5_digest": "d56524cf31d037c37fbc3ebcf8c7725d", "packagetype": "sdist", "python_version": "source", "requires_python": null, "size": 44537, "upload_time": "2015-12-17T11:01:03", "url": "https://files.pythonhosted.org/packages/1a/49/1dd3961bbc2268f582fb7c036ede331aff5b455935ae1e655f1ad3e814a9/EHRcorral-0.0.1.tar.gz" } ], "0.0.3": [ { "comment_text": "", "digests": { "md5": "ba4cf85022cd50bbdd3d602ed35aaad7", "sha256": "8372d2ef2485829b8048145a94ca82a0d6f4de390cc8bcf4e6d352c2edc9ba65" }, "downloads": -1, "filename": "EHRcorral-0.0.3.tar.gz", "has_sig": false, "md5_digest": "ba4cf85022cd50bbdd3d602ed35aaad7", "packagetype": "sdist", "python_version": "source", "requires_python": null, "size": 49170, "upload_time": "2015-12-18T03:11:35", "url": "https://files.pythonhosted.org/packages/89/7d/bd8ea508c5133fd3fba80234e0b26ef5aa877a5e6461a52f792009edb82f/EHRcorral-0.0.3.tar.gz" } ] }, "urls": [ { "comment_text": "", "digests": { "md5": "ba4cf85022cd50bbdd3d602ed35aaad7", "sha256": "8372d2ef2485829b8048145a94ca82a0d6f4de390cc8bcf4e6d352c2edc9ba65" }, "downloads": -1, "filename": "EHRcorral-0.0.3.tar.gz", "has_sig": false, "md5_digest": "ba4cf85022cd50bbdd3d602ed35aaad7", "packagetype": "sdist", "python_version": "source", "requires_python": null, "size": 49170, "upload_time": "2015-12-18T03:11:35", "url": "https://files.pythonhosted.org/packages/89/7d/bd8ea508c5133fd3fba80234e0b26ef5aa877a5e6461a52f792009edb82f/EHRcorral-0.0.3.tar.gz" } ] }