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.

https://github.com/aphp/edsteva

Science Score: 23.0%

This score indicates how likely this project is to be science-related based on various indicators:

  • CITATION.cff file
  • codemeta.json file
    Found codemeta.json file
  • .zenodo.json file
  • DOI references
  • Academic publication links
    Links to: zenodo.org
  • Committers with academic emails
  • Institutional organization owner
  • JOSS paper metadata
  • Scientific vocabulary similarity
    Low similarity (15.4%) to scientific vocabulary

Keywords from Contributors

clinical-data-warehouse medical french multi-task rule-based spacy omop
Last synced: 11 months ago · JSON representation

Repository

EDS-TeVa provides a set of tools that aims at modeling the adoption over time and across space of the Electronic Health Records.

Basic Info
Statistics
  • Stars: 13
  • Watchers: 1
  • Forks: 0
  • Open Issues: 6
  • Releases: 14
Created over 3 years ago · Last pushed over 2 years ago
Metadata Files
Readme Changelog Contributing License

README.md

EDS-TeVa

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

Documentation Codecov Supported Python versions PyPI Poetry DOI Black Ruff

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:

shell 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.

Owner

  • Name: Greater Paris University Hospitals (AP-HP)
  • Login: aphp
  • Kind: organization
  • Location: Paris

GitHub Events

Total
  • Watch event: 1
Last Year
  • Watch event: 1

Committers

Last synced: about 1 year ago

All Time
  • Total Commits: 96
  • Total Committers: 4
  • Avg Commits per committer: 24.0
  • Development Distribution Score (DDS): 0.094
Past Year
  • Commits: 0
  • Committers: 0
  • Avg Commits per committer: 0.0
  • Development Distribution Score (DDS): 0.0
Top Committers
Name Email Commits
Adam a****i@a****r 87
svittoz 1****z 7
Vincent M m****t@y****r 1
Charline JEAN c****t@a****r 1
Committer Domains (Top 20 + Academic)
aphp.fr: 2

Issues and Pull Requests

Last synced: about 1 year ago

All Time
  • Total issues: 8
  • Total pull requests: 28
  • Average time to close issues: about 1 month
  • Average time to close pull requests: 3 days
  • Total issue authors: 3
  • Total pull request authors: 2
  • Average comments per issue: 0.25
  • Average comments per pull request: 0.39
  • Merged pull requests: 27
  • Bot issues: 0
  • Bot pull requests: 0
Past Year
  • Issues: 0
  • Pull requests: 0
  • Average time to close issues: N/A
  • Average time to close pull requests: N/A
  • Issue authors: 0
  • Pull request authors: 0
  • Average comments per issue: 0
  • Average comments per pull request: 0
  • Merged pull requests: 0
  • Bot issues: 0
  • Bot pull requests: 0
Top Authors
Issue Authors
  • svittoz (4)
  • Aremaki (2)
  • PPPinson (1)
Pull Request Authors
  • Aremaki (21)
  • svittoz (6)
Top Labels
Issue Labels
enhancement (1) good first issue (1)
Pull Request Labels

Packages

  • Total packages: 1
  • Total downloads:
    • pypi 44 last-month
  • Total dependent packages: 0
  • Total dependent repositories: 0
  • Total versions: 14
  • Total maintainers: 3
pypi.org: edsteva

EDS-TeVa provides a set of tools that aims at modeling the adoption over time and across space of the Electronic Health Records.

  • Versions: 14
  • Dependent Packages: 0
  • Dependent Repositories: 0
  • Downloads: 44 Last month
Rankings
Dependent packages count: 6.6%
Downloads: 14.6%
Stargazers count: 19.5%
Average: 20.4%
Forks count: 30.5%
Dependent repos count: 30.6%
Maintainers (3)
Last synced: 11 months ago

Dependencies

.github/workflows/documentation.yaml actions
  • actions/cache v3 composite
  • actions/checkout master composite
  • actions/setup-python v4 composite
  • snok/install-poetry v1 composite
.github/workflows/release.yml actions
  • actions/cache v3 composite
  • actions/checkout master composite
  • actions/setup-python v4 composite
  • snok/install-poetry v1 composite
.github/workflows/tests.yml actions
  • actions/cache v2 composite
  • actions/cache v3 composite
  • actions/checkout master composite
  • actions/checkout v2 composite
  • actions/setup-java v1 composite
  • actions/setup-python v4 composite
  • codecov/codecov-action v2 composite
  • mstachniuk/ci-skip master composite
  • snok/install-poetry v1 composite
poetry.lock pypi
  • 152 dependencies
pyproject.toml pypi
  • altair ^4.2
  • ipython ^7.31.0
  • koalas ^1.8.2
  • loguru 0.6.0
  • numpy <1.20.0
  • pandas ^1.3
  • pgpasslib ^1.1.0
  • psycopg2-binary ^2.9.3
  • pyarrow 0.14.0
  • pyspark ~2.4.3
  • python ~3.7.1