Metadata-Version: 2.1
Name: summed
Version: 0.1.0
Summary: SumMed empowers patients and caregivers to better understand medical information
Home-page: https://github.com/whatchacallit/summed
Author: SumMed Team
Author-email: hello@summed.org
License: MIT license
Keywords: summed
Classifier: Development Status :: 2 - Pre-Alpha
Classifier: Intended Audience :: Developers
Classifier: License :: OSI Approved :: MIT License
Classifier: Natural Language :: English
Classifier: Programming Language :: Python :: 3.8
Requires-Python: >=3.8, <3.9
Description-Content-Type: text/x-rst
License-File: LICENSE
License-File: AUTHORS.rst

======
SumMed
======


.. image:: https://img.shields.io/pypi/v/summed.svg
        :target: https://pypi.python.org/pypi/summed

.. image:: https://img.shields.io/travis/faxg/summed.svg
        :target: https://travis-ci.com/faxg/summed

.. image:: https://readthedocs.org/projects/summed/badge/?version=latest
        :target: https://summed.readthedocs.io/en/latest/?version=latest
        :alt: Documentation Status


.. image:: https://pyup.io/repos/github/faxg/summed/shield.svg
     :target: https://pyup.io/repos/github/faxg/summed/
     :alt: Updates



SumMed empowers patients and caregivers to better understand medical information


* Free software: MIT license
* Documentation: https://summed.readthedocs.io.


Features
--------

* Domain-specific NLP functionality to analyze medical text in multiple languages
* leverages a set of Cloud APIs and custom logic to analyze medical text
* We take a patient (rather than a medical professional) perspective
* Extract text from a variety of sources (web article, PDF, images, ...)
* Perform text analysis: medical NER, extractive- and abstractive summarization, optional translation, analogy finder 
* Find highly relevant, trustworthy information related to the patient's condition
* Lookup terms and phrases from an medical dictionary (e.g. MW medical dictionary or SNOMED)
* Trust score and responsible A.I.: indicate level of trust of a medical text, and explain confidence in our (automatic) understanding and reasoning about it. 
* Easy to use and extend 


Credits
-------

This package was created with Cookiecutter_ and the `audreyr/cookiecutter-pypackage`_ project template.

.. _Cookiecutter: https://github.com/audreyr/cookiecutter
.. _`audreyr/cookiecutter-pypackage`: https://github.com/audreyr/cookiecutter-pypackage


=======
History
=======

0.1.0 (2021-12-23)
------------------

* First early-access release on PyPI.
* datamodel and core functionality
