edsteva 0.2.8
EDS-TeVa provides a set of tools that aims at modeling the adoption over time and across space of the Electronic Health Records.
License: BSD 3-Clause
Requires Python: >=3.7.1,<3.8.0
Keywords: OMOP,Data Analysis,Electronic health record

<!-- <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> -->

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  <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>
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# EDS-TeVa [![Binder](https://mybinder.org/badge_logo.svg)](https://mybinder.org/v2/gh/aphp/edsteva/HEAD?labpath=notebooks%2Fsynthetic_data.ipynb)

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**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.