This tutorial demonstrates how parts of the MIMIC-III Demo Dataset are prepared for analysis in conquery.
Make sure you have the required build tools ready (or your container environment prepared) and python (3.x) installed. We recommend to create a virtual environment and install the required libraries by running: pip install -r requirements.txt
.
The tutorials
- Age and Gender and
- ICD9 show how meta data is generated, that enable the drag'n'drop analysis of conquery.
The subsequent tutorial Preprocess and Upload shows the preprocessing step and uploads all files into a conquery backend. Finally you can start you first analysis in the frontend.
Open Jupyter Notebooks from this folder using
$ jupyter notebook
and start with one of the meta-data notebooks.