Documentation: https://aphp.github.io/edsteva/latest/
Source Code: https://github.com/aphp/edsteva
EDS-TeVa provides a set of tools that aims at modeling the adoption over time and across space of the Electronic Health Records.
EDS-TeVa stands on the shoulders of Spark 2.4 which requires:
- Python ~3.7.1
- Java 8
You can install EDS-TeVa through pip:
pip install edstevaWe recommend pinning the library version in your projects, or use a strict package manager like Poetry.
pip install edsteva==0.2.7
A scientific paper is currently being written that describes extensively the use of the library on the study of quality and epidemiological indicators.
Contributions are welcome, and they are greatly appreciated! Every little bit helps, and credit will always be given.
We would like to thank Assistance Publique – Hôpitaux de Paris and AP-HP Foundation for funding this project.