Skip to content
This repository has been archived by the owner on Dec 18, 2023. It is now read-only.

thehyve/python_ontology2transmart

Folders and files

NameName
Last commit message
Last commit date

Latest commit

 

History

10 Commits
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 

Repository files navigation

Example ontology to TranSMART loader

Build status codecov PyPI PyPI - Downloads

This package contains a mapper that reads ontologies from DIMDI (Deutsche Institut für Medizinische Dokumentation und Information) and translates them to the data model of the TranSMART platform, an open source data sharing and analytics platform for translational biomedical research.

It also provides a utility that applies the mapper and writes the translated data to tab-separated files that can be loaded into a TranSMART database using the transmart-copy tool.

⚠️ Note: this is a very preliminary version, still under development. Issues can be reported at https://github.com/thehyve/python_ontology2transmart/issues.

Installation

The package requires Python 3.6.

To install ontology2transmart, do:

pip install ontology2transmart

Or from source:

git clone https://github.com/thehyve/python_ontology2transmart.git
cd python_ontology2transmart
pip install .

Run tests (including coverage) with:

python setup.py test

Usage

Read ontology from a collection of TSV files from DIMDI and write the output in transmart-copy format to /path/to/output. The output directory should be empty of not existing (then it will be created).

ontology2transmart <system> <chapters> <groups> <codes> /path/to/output

Parameters:

system

Unique identifier for the ontology

chapters

Semicolon-separated file with chapters

groups

Semicolon-separated file with groups

codes

Semicolon-separated file with codes

/path/to/output

Output directory

Example: the ICD-10-GM (German modification of ICD-10) is available at icd10gm2019syst-meta.zip.

# Unzip and navigate to the classification directory
mkdir icd10gm2019
cd icd10gm2019
unzip ../icd10gm2019syst-meta.zip
cd Klassifikationsdateien
# create an output directory
mkdir output
# apply the mapping
ontology2transmart http://dimdi.de/icd10gm2019 icd10gm2019syst_kapitel.txt icd10gm2019syst_gruppen.txt icd10gm2019syst_kodes.txt output

This generates the directories i2b2metadata and i2b2demodata in the output directory. The generated data can be loaded using transmart-copy:

# Download transmart-copy:
curl -f -L https://repo.thehyve.nl/service/local/repositories/releases/content/org/transmartproject/transmart-copy/17.1-HYVE-5.9-RC3/transmart-copy-17.1-HYVE-5.9-RC3.jar -o transmart-copy.jar
# Load data
PGUSER=tm_cz PGPASSWORD=tm_cz java -jar transmart-copy.jar -d output

Acknowledgement

This project was funded by the German Ministry of Education and Research (BMBF) as part of the project DIFUTURE - Data Integration for Future Medicine within the German Medical Informatics Initiative (grant no. 01ZZ1804D).

License

Copyright (c) 2019 The Hyve B.V.

The ontology to TranSMART loader is licensed under the MIT License. See the file LICENSE.