OMOP data analysis in Python
Reason this release was yanked:
Empty package
Project description
EDS-Scikit is a tool to assist data scientists working on the AP-HP's Clinical Data Warehouse. It is specifically targeted for OMOP-standardized data. It main goals are to:
- Ease access and analysis of data
- Allow a better transfer of knowledge between projects
- Improve research reproduciblity
Development
This library is developed and maintained by the core team of AP-HP’s Clinical Data Warehouse (EDS) with the strong support of Inria's SODA team.
How to use
Please check the online documentation for more informations. You will find
- Detailed explanation of the project goal and working principles
- A complete API documentation
- Various Jupyter Notebooks describing how to use various functionnalities of SciKit-EDS
- And more !
Requirements
EDS-Scikit stands on the shoulders of Spark 2.4 which requires:
- Python ~3.7.1
- Java 8
Installation
You can install EDS-Scikit via pip
:
pip install eds-scikit
:warning: If you work in AP-HP's ecosystem (EDS), please install additionnal features via:
pip install "eds-scikit[aphp]"
You can now import the library via
import eds_scikit
Contributing
- You want to help on the project ?
- You developped an interesting feature and you think it could benefit other by being integrated in the library ?
- You found a bug ?
- You have a question about the library ?
- ...
Please check our contributing guidelines.
Acknowledgment
We would like to thank the following funders:
- Assistance Publique – Hôpitaux de Paris
- AP-HP Foundation
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