This repository is based on the MIMIC-IV dataset.
To get more expressive queries, we join admissions with patients, and admissions with diagnoses_icd.
The resulting files need to be placed in cqpp/mimic and the filenames need to correspond to the sourceFile-names in their respective import.json files. You will then run preprocess.sh to preprocess the files from csv to cqpp files for import into conquery.
To load the files use scripts/request.py, which will by default execute all import-actions, though you will only need dataset table concept cqpp update. The last of which will trigger a scan on the loaded dataset to give an overview for the users.
These steps should be sufficient to get a minimal conquery instance going based on the MIMIC-IV dataset.