<!-- <p align="center">
<b>DISCLAIMER: </b>EDS-TeVa is intended to be a module of <a href="https://github.com/aphp/EDS-Scikit">EDS-Scikit</a>
</p> -->
<div align="center">
<p align="center">
<a href="https://aphp.github.io/edsteva/latest/"><img src="https://aphp.github.io/edsteva/latest/assets/logo/edsteva_logo_small.svg" alt="EDS-TeVa"></a>
</p>
# EDS-TeVa [](https://mybinder.org/v2/gh/aphp/edsteva/HEAD?labpath=notebooks%2Fsynthetic_data.ipynb)
<p align="center">
<a href="https://aphp.github.io/edsteva/latest/" target="_blank">
<img src="https://img.shields.io/github/actions/workflow/status/aphp/edsteva/documentation.yaml?branch=main&label=docs&style=flat" alt="Documentation">
</a>
<a href="https://codecov.io/github/aphp/edsteva?branch=main" target="_blank">
<img src="https://codecov.io/github/aphp/edsteva/coverage.svg?branch=main"
alt="Codecov">
</a>
<a href="https://www.python.org/" target="_blank">
<img src="https://img.shields.io/badge/python-~3.7.1-brightgreen"
alt="Supported Python versions">
</a>
<a href="https://pypi.org/project/edsteva/" target="_blank">
<img src="https://img.shields.io/pypi/v/edsteva?color=blue&style=flat"
alt="PyPI">
</a>
<a href="https://python-poetry.org/" target="_blank">
<img src="https://img.shields.io/endpoint?url=https://python-poetry.org/badge/v0.json"
alt="Poetry">
</a>
<a href="https://zenodo.org/badge/latestdoi/572079865">
<img src="https://zenodo.org/badge/572079865.svg"
alt="DOI">
</a>
<a href="https://github.com/psf/black" target="_blank">
<img src="https://img.shields.io/badge/code%20style-black-000000.svg"
alt="Black">
</a>
<a href="https://github.com/astral-sh/ruff" target="_blank">
<img src="https://img.shields.io/endpoint?url=https://raw.githubusercontent.com/charliermarsh/ruff/main/assets/badge/v2.json"
alt="Ruff">
</a>
</p>
</div>
**Documentation**: <a href="https://aphp.github.io/edsteva/latest/" target="_blank">https://aphp.github.io/edsteva/latest/</a>
**Source Code**: <a href="https://github.com/aphp/edsteva" target="_blank">https://github.com/aphp/edsteva</a>
---
EDS-TeVa provides a set of tools that aims at modeling the adoption over time and across space of the Electronic Health Records.
## Requirements
EDS-TeVa stands on the shoulders of [Spark 2.4](https://spark.apache.org/docs/2.4.8/index.html) which requires:
- Python ~3.7.1
- Java 8
## Installation
You can install EDS-TeVa through ``pip``:
```shell
pip install edsteva
```
We recommend pinning the library version in your projects, or use a strict package manager like [Poetry](https://python-poetry.org/).
```
pip install edsteva==0.2.7
```
## Example
A scientific paper is currently being written that describes extensively the use of the library on the study of quality and epidemiological indicators.
## Contributing
Contributions are welcome, and they are greatly appreciated! Every little bit helps, and credit will always be given.
## Acknowledgement
We would like to thank [Assistance Publique – Hôpitaux de Paris](https://www.aphp.fr/) and [AP-HP Foundation](https://fondationrechercheaphp.fr/) for funding this project.
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