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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.

Requirements

EDS-TeVa stands on the shoulders of Spark 2.4 which requires:

  • Python ~3.7.1
  • Java 8

Installation

You can install EDS-TeVa through pip:

pip install edsteva

We recommend pinning the library version in your projects, or use a strict package manager like Poetry.

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 and AP-HP Foundation for funding this project.