Metadata-Version: 2.1
Name: event2vec
Version: 0.0.0
Summary: event2vec
Home-page: https://gitlab.com/strayMat/event2vec
License: EUPL-v1.2
Author: Matthieu Doutreligne
Author-email: matt.dout@gmail.com
Requires-Python: >=3.7.1,<3.8
Classifier: Intended Audience :: Developers
Classifier: License :: Other/Proprietary License
Classifier: Natural Language :: English
Classifier: Operating System :: OS Independent
Classifier: Programming Language :: Python
Classifier: Programming Language :: Python :: 3
Classifier: Programming Language :: Python :: 3
Classifier: Programming Language :: Python :: 3.7
Classifier: Programming Language :: Python :: Implementation :: CPython
Classifier: Topic :: Software Development :: Libraries :: Python Modules
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Project-URL: Repository, https://gitlab.com/strayMat/event2vec
Description-Content-Type: text/markdown

# event2vec

**Documentation**: [https://straymat.gitlab.io/event2vec/](https://straymat.gitlab.io/event2vec/)

**Source Code**: [https://gitlab.com/strayMat/event2vec](https://gitlab.com/strayMat/event2vec)

## Overview

Electronic Health Record and claims contain sequences of care: every contact
between a patient and a healthcare system (either hospital, either insurance) is
recorded in a central database. Medical terminologies are often used to encode
the type of care : diagnoses, acts, drugs, laboratory, ...

Such healthcare trajectories can be viewed as sequence of tokens, similarly to
sequences of words. Embeddings techniques .

This package propose to use matrix factorization as a simple and efficient way
to build event embedding from a medical observational database.


## Features

- TODO

