Metadata-Version: 1.2
Name: icdcodex
Version: 0.1.0
Summary: icd embedding for machine learning
Home-page: https://github.com/jeremyadamsfisher/icdcodex
Author: Jeremy Fisher
Author-email: jeremyf@cmu.edu
License: MIT license
Description: ========
        icdcodex
        ========
        
        .. image:: https://img.shields.io/pypi/v/icdcodex.svg
                :target: https://pypi.python.org/pypi/icdcodex
        
        
        .. image:: https://readthedocs.org/projects/icdcodex/badge/?version=latest
                :target: https://icdcodex.readthedocs.io/en/latest/?badge=latest
                :alt: Documentation Status
        
        ICD embedding for machine learning, created for `MedHacks2020 ❤️
        <http://medhacks.org/?fbclid=IwAR0L-JQotA_wdVe5PTySOrPMCCknlZBb8xlHmwCkcyWPEFwTeVlk3jkyuJg/>`_.
        
        * Free software: MIT license
        * Documentation: https://icdcodex.readthedocs.io.
        
        What is Medhacks?
        -----------------
        MedHacks hosted by Johns Hopkins University aims to unite talented and diverse minds from all backgrounds in order to foster a collaborative environment that aims to solve the world’s medical obstacles and issues. 
        
        The Problem
        -----------
        ICD coding is a laborous, but difficult to automate by machine learning because the output space if intractably large. (ICD-10CM has over 70,000 codes.) icdcodex creates a vector embedding for this input space, making it simpler for machine learning practioners to efficiently adapt algorithms for ICD coding.
        
        Our Solution
        ------------
        We rely on the word2vec model to generate this embedding. In this set up, each ICD code represents a "word," whereas a path sampled from breadth-first or depth-first search represents the "sentence."
        
        
        The Team
        --------
        * Jeremy Adams Fisher
        * Alhusain Abdalla
        * Natasha Nehra
        * Tejas Patel
        * Hamrish Saravanakumar
        
        
        Features
        --------
        
        * Curated networkX graphs representing ICD hierarchies
        * A simple API to generate 
        
        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 (2020-09-04)
        ------------------
        
        * First release on PyPI.
        
Keywords: icdcodex
Platform: UNKNOWN
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
Classifier: Programming Language :: Python :: 3.7
Classifier: Programming Language :: Python :: 3.8
Requires-Python: >=3.5
